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ORCIDGECCO 2018: Kyoto, Japan - Companion Material
- Hernán E. Aguirre, Keiki Takadama:
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, Kyoto, Japan, July 15-19, 2018. ACM 2018, ISBN 978-1-4503-5764-7
Competition entry: internet of things: online anomaly detection for drinking water quality
- Victor Henrique Alves Ribeiro
, Gilberto Reynoso-Meza:
Online anomaly detection for drinking water quality using a multi-objective machine learning approach. 1-2 - Xingguo Chen, Fan Feng, Jikai Wu, Wenyu Liu:
Anomaly detection for drinking water quality via deep biLSTM ensemble. 3-4 - Valerie Fehst, Huu Chuong La, Tri-Duc Nghiem, Ben E. Mayer, Paul Englert, Karl-Heinz Fiebig:
Automatic vs. manual feature engineering for anomaly detection of drinking-water quality. 5-6
Hot off the press
- Aitor Arrieta, Shuai Wang, Urtzi Markiegi, Goiuria Sagardui, Leire Etxeberria:
Employing multi-objective search to enhance reactive test generation and prioritization for testing industrial cyber-physical systems. 7-8 - Francisco Chávez de la O, Francisco Fernández de Vega, Josefa Díaz, Juan Ángel García, Francisco J. Rodríguez, Pedro A. Castillo:
Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system. 9-10 - Dogan Corus, Pietro S. Oliveto:
Standard steady state genetic algorithms can hillclimb faster than evolutionary algorithms using standard bit mutation. 11-12 - Benjamin Doerr:
Better runtime guarantees via stochastic domination (hot-off-the-press track at GECCO 2018). 13-14 - Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak:
Deep statistical comparison of meta-heuristic stochastic optimization algorithms. 15-16 - Michael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill:
Towards automation & augmentation of the design of schedulers for cellular communications networks. 17-18 - Kai-Cheng Hsu, Feng-Sheng Wang:
Detection of minimum biomarker features via bi-level optimization framework by nested hybrid differential evolution. 19-20 - Sara Khanchi, Ali Vahdat, Malcolm I. Heywood, Nur Zincir-Heywood:
On botnet detection with genetic programming under streaming data, label budgets and class imbalance. 21-22 - William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore:
A multidimensional genetic programming approach for identifying epsistatic gene interactions. 23-24 - Krzysztof Michalak:
ED-LS: a heuristic local search for the firefighter problem. 25-26 - Jakub Nalepa, Miroslaw Blocho:
Parameter-less (meta)heuristics for vehicle routing problems. 27-28 - Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore:
Evolutionary computation: an investigation of parameter space. 29-30 - Dennis G. Wilson, Silvio Rodrigues, Carlos Segura, Ilya Loshchilov, Frank Hutter, Guillermo López Buenfil, Ahmed Kheiri, Ed Keedwell, Mario Ocampo-Pineda, Ender Özcan, Sergio Iwan Valdez Pea, Brian Goldman, Salvador Botello Rionda, Arturo Hernández Aguirre, Kalyan Veeramachaneni, Sylvain Cussat-Blanc:
Summary of evolutionary computation for wind farm layout optimization. 31-32
Late-breaking abstract
- Pei-Ling Chiu, Kai-Hui Lee:
Optimization based adaptive tagged visual cryptography. 33-34 - Hwi-Yeon Cho, Hye-Jin Kim, Yong-Hyuk Kim:
Parameter space analysis of genetic algorithm using support vector regression. 35-36 - David Dohan, David R. So, Quoc V. Le:
Evolving modular neural sequence architectures with genetic programming. 37-38 - Kousuke Fujimoto, Kei Ohnishi, Tomohiro Yoshikawa:
The human-based evolutionary computation system enabling us to follow the solution evolution. 39-40 - Masaki Fujiwara, Masaharu Munetomo:
A surrogate-assisted selection scheme for genetic algorithms employing multi-layer neural networks. 41-42 - Ryoichi Hasegawa, Hisashi Handa:
Investigation of kernel functions in EDA-GK. 43-44 - Thommen George Karimpanal:
A self-replication basis for designing complex agents. 45-46 - Jacob Krantz, Maxwell Dulin, Paul De Palma, Mark VanDam:
Syllabification by phone categorization. 47-48 - Junghwan Lee, Yong-Hyuk Kim:
Importance of finding a good basis in binary representation. 49-50 - Hyeon-Chang Lee, Dong-Pil Yu, Yong-Hyuk Kim:
On the hardness of parameter optimization of convolution neural networks using genetic algorithm and machine learning. 51-52 - Yong-Wook Nam, Yong-Hyuk Kim:
A geometric evolutionary search for melody composition. 53-54 - Hiro Ohtsuka, Misaki Kaidan, Tomohiro Harada, Ruck Thawonmas:
Evolutionary algorithm using surrogate assisted model for simultaneous design optimization benchmark problem of multiple car structures. 55-56 - Keiko Ono, Yoshiko Hanada:
Accelerating genetic programming using pycuda. 57-58 - Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore:
EBIC: a next-generation evolutionary-based parallel biclustering method. 59-60 - Evgenia Papavasileiou, Bart Jansen:
Configuring the parameters of artificial neural networks using neuroevoiution and automatic algorithm configuration. 61-62 - Krzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa:
Genetically-trained deep neural networks. 63-64 - Anselmo C. Pontes, Charles Ofria:
Digital investigations on the evolution of prokaryote photosynthesis regulation: late-breaking abstract. 65-66 - Katya Rodríguez-Vázquez:
GA and entropy objective function for solving sudoku puzzle. 67-68 - Yuji Sato, Mikiko Sato, Minami Miyakawa:
Distributed NSGA-II sharing extreme non-dominated solutions. 69-70 - Mariko Tanaka, Yuki Yamagishi, Hidetoshi Nagai, Hiroyuki Sato:
Infeasible solution repair and MOEA/D sharing weight vectors for solving multi-objective set packing problems. 71-72 - Heng Xiao, Toshiharu Hatanaka:
Hybrid swarm of particle swarm with firefly for complex function optimization. 73-74 - Tao Xiong:
Forecasting soybean futures price using dynamic model averaging and particle swarm optimization. 75-76 - Dong-Pil Yu, Yong-Hyuk Kim:
Is it worth to approximate fitness by machine learning?: investigation on the extensibility according to problem size. 77-78 - Tanja Zerenner, Victor Venema, Petra Friederichs, Clemens Simmer:
Deterministic and stochastic precipitation downscaling using multi-objective genetic programming. 79-80
Poster: ant colony optimization and swarm intelligence
- Claus Aranha, Jair Pereira Junior, Hitoshi Kanoh:
Comparative study on discrete SI approaches to the graph coloring problem. 81-82 - Stephyn G. W. Butcher, John W. Sheppard, Brian K. Haberman:
Comparative performance and scaling of the pareto improving particle swarm optimization algorithm. 83-84 - Carlos M. Fernandes, Agostinho C. Rosa, Nuno Fachada, Juan Luis Jiménez Laredo, Juan Julián Merelo Guervós:
Particle swarm and population structure. 85-86 - Xin-Chi Han, Hao-Wen Ke, Yue-Jiao Gong, Ying Lin, Wei-Li Liu, Jun Zhang:
Multimodal optimization of traveling salesman problem: a niching ant colony system. 87-88 - Zainab Husain, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic:
Inverted ant colony optimization for search and rescue in an unknown maze-like indoor environment. 89-90 - Chengyu Lu, Jinghui Zhong:
An efficient ant colony system for coverage based test case prioritization. 91-92 - Hu Peng, Changshou Deng, Hui Wang, Wenjun Wang, Xinyu Zhou, Zhijian Wu:
Gaussian bare-bones cuckoo search algorithm. 93-94 - Ryo Takano, Hiroyuki Sato, Keiki Takadama:
Artificial bee colony algorithm based on adaptive local information sharing: approach for several dynamic changes. 95-96 - Yuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama:
Multiple swarm intelligence methods based on multiple population with sharing best solution for drastic environmental change. 97-98 - Jun Yu, Ying Tan, Hideyuki Takagi:
Scouting strategy for biasing fireworks algorithm search to promising directions. 99-100 - Asaduz Zaman, Seong Young Ko:
Improving the accuracy of 2D-3D registration of femur bone for bone fracture reduction robot using particle swarm optimization. 101-102
Poster: complex systems (artificial life/artificial immune systems/generative and developmental systems/evolutionary robotics/evolvable hardware)
- Zaineb Chelly Dagdia:
A distributed dendritic cell algorithm for big data. 103-104 - Emily L. Dolson, Charles Ofria:
Ecological theory provides insights about evolutionary computation. 105-106 - Stéphane Doncieux, Alexandre Coninx:
Open-ended evolution with multi-containers QD. 107-108 - Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu:
Meta-learning by the baldwin effect. 109-110 - Chia-Feng Juang, Yu-Cheng Chang, I-Fang Chung:
Evolutionary hexapod robot gait control using a new recurrent neural network learned through group-based hybrid metaheuristic algorithm. 111-112 - Jared M. Moore, Anthony J. Clark:
Bend and flex: passive flexibility or active control in a quadruped animat. 113-114 - Olaf Witkowski, Geoff Nitschke:
The dynamics of cooperation versus competition. 115-116 - Sabre Didi, Geoff Nitschke:
Policy transfer methods in RoboCup keep-away. 117-118 - Joshua P. Powers, Sam Kriegman, Josh C. Bongard:
Embodiment can combat catastrophic forgetting. 119-120 - Zhenyue Qin, Tom Gedeon, Robert I. McKay:
Why don't the modules dominate? 121-122 - Eric O. Scott, Kenneth A. De Jong:
Toward learning neural network encodings for continuous optimization problems. 123-124
Poster: digital entertainment technologies and arts
- Makoto Fukumoto, Kota Nomura:
A proposal for distributed interactive differential evolution: in a case of creating sign sounds for multiple users. 125-126 - Pablo González de Prado Salas, Sebastian Risi:
Collaborative interactive evolution in minecraft. 127-128 - Man-Je Kim, Chang Wook Ahn:
Hybrid fighting game AI using a genetic algorithm and Monte Carlo tree search. 129-130 - Marco Scirea, Peter W. Eklund, Julian Togelius, Sebastian Risi:
Towards an experiment on perception of affective music generation using MetaCompose. 131-132 - Takuto Shigenobu, Takuya Ushinohama, Hiroshi Kawasaki, Satoshi Ono:
Silhouette-based three dimensional image registration using CMA-ES with joint scheme of partial restart and variable fixing. 133-134
Poster: evolutionary combinatorial optimization and metaheuristics
- Alexander E. I. Brownlee, John R. Woodward, Nadarajen Veerapen:
Relating training instances to automatic design of algorithms for bin packing via features. 135-136 - Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
Distance-based exponential probability models on constrained combinatorial optimization problems. 137-138 - Onur Kaya, Dogus Ozkok:
A network design problem with location, inventory and routing decisions. 139-140 - Yi Mei, Mengjie Zhang:
Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem. 141-142 - Li-Tao Tan, Wei-Neng Chen, Jun Zhang:
A histogram estimation of distribution algorithm for resource scheduling. 143-144 - Mehmet Fatih Tasgetiren, Ugur Eliiyi, Hande Öztop, Damla Kizilay, Quan-Ke Pan:
An energy-efficient single machine scheduling with release dates and sequence-dependent setup times. 145-146 - Chen Wang, Hui Ma, Gang Chen:
EDA-based approach to comprehensive quality-aware automated semantic web service composition. 147-148 - Daniel Yska, Yi Mei, Mengjie Zhang:
Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling. 149-150 - Hansang Yun, Byung-Ro Moon:
An efficient approximation to the barrier tree using the great deluge algorithm. 151-152 - Zhi-Wei Zeng, Xiao-Min Hu, Min Li, Yu Luo:
Local intensity in memetic algorithm: case study in CARP. 153-154
Poster: evolutionary machine learning
- Bassel Ali, Wasin Kalintha, Koichi Moriyama, Masayuki Numao, Ken-ichi Fukui:
Reinforcement learning for evolutionary distance metric learning systems improvement. 155-156 - Travis Desell:
Accelerating the evolution of convolutional neural networks with node-level mutations and epigenetic weight initialization. 157-158 - Jan-Benedikt Jagusch, Ivo Gonçalves, Mauro Castelli:
Neuroevolution under unimodal error landscapes: an exploration of the semantic learning machine algorithm. 159-160 - David Kadish:
Clustering sensory inputs using NeuroEvolution of augmenting topologies. 161-162 - Lukas Kammerer, Michael Affenzeller:
Confidence-based ensemble modeling in medical data mining. 163-164 - Saso Karakatic, Vili Podgorelec:
Building boosted classification tree ensemble with genetic programming. 165-166 - Dipanjyoti Paul, Sriparna Saha, Jimson Mathew:
Multiobjective optimization based subspace clustering using evolvable genome structure. 167-168 - Koki Shimada, Peter J. Bentley:
Learning how to flock: deriving individual behaviour from collective behaviour with multi-agent reinforcement learning and natural evolution strategies. 169-170 - Kuan-Wu Su, Min-Chieh Yu, Jenq-Shiou Leu:
A neuroevolution strategy using multi-agent incorporated hierarchical ensemble model. 171-172 - Shuwei Zhu, Lihong Xu, Leilei Cao:
A study of automatic clustering based on evolutionary many-objective optimization. 173-174
Poster: evolutionary multiobjective optimization
- Abdelhakim Cheriet, Roberto Santana:
Modeling dependencies between decision variables and objectives with copula models. 175-176 - Hiroaki Fukumoto, Akira Oyama:
Benchmarking multiobjective evolutionary algorithms and constraint handling techniques on a real-world car structure design optimization benchmark problem. 177-178 - Kousuke Izumiya, Masaharu Munetomo:
Introducing a linkage identification considering non-monotonicity to multi-objective evolutionary optimization with decomposition for real-valued functions. 179-180 - Francia Jiménez, Claudio Sanhueza, Regina Berretta, Pablo Moscato:
Accelerating a multi-objective memetic algorithm for feature selection using hierarchical k-means indexes. 181-182 - Takehisa Kohira, Hiromasa Kemmotsu, Akira Oyama, Tomoaki Tatsukawa:
Proposal of benchmark problem based on real-world car structure design optimization. 183-184 - William G. La Cava, Jason H. Moore:
An analysis of ϵ-lexicase selection for large-scale many-objective optimization. 185-186 - Longmei Li, Hao Chen, Jing Wu, Jun Li, Ning Jing, Michael Emmerich:
Preference-based evolutionary algorithms for many-objective mission planning of agile earth observation satellites. 187-188 - Yuri Marca, Hernán E. Aguirre, Saúl Zapotecas Martínez, Arnaud Liefooghe, Bilel Derbel, Sébastien Vérel, Kiyoshi Tanaka:
Pareto dominance-based MOEAs on problems with difficult pareto set topologies. 189-190 - Hugo Monzón, Hernán E. Aguirre, Sébastien Vérel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka:
Studying MOEAs dynamics and their performance using a three compartmental model. 191-192 - Miriam Pescador-Rojas, Carlos A. Coello Coello:
Studying the effect of techniques to generate reference vectors in many-objective optimization. 193-194 - Proteek Chandan Roy, Julian Blank, Rayan Hussein, Kalyanmoy Deb:
Trust-region based algorithms with low-budget for multi-objective optimization. 195-196 - Julian Schulte, Niclas Feldkamp, Sören Bergmann, Volker Nissen:
Bilevel innovization: knowledge discovery in scheduling systems using evolutionary bilevel optimization and visual analytics. 197-198 - Jianyong Sun, Hu Zhang, Qingfu Zhang, Huanhuan Chen:
Balancing exploration and exploitation in multiobjective evolutionary optimization. 199-200 - A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Julian Blank:
Visualization of the boundary solutions of high dimensional pareto front from a decision maker's perspective. 201-202 - Junchen Wang, Changhe Li, Yiya Diao, Sanyou Zeng, Hui Wang:
An efficient nondominated sorting algorithm. 203-204 - Ilya Yakupov, Maxim Buzdalov:
On asynchronous non-dominated sorting for steady-state multiobjective evolutionary algorithms. 205-206
Poster: evolutionary numerical optimization
- Tae Jong Choi, Chang Wook Ahn:
Accelerating differential evolution using multiple exponential cauchy mutation. 207-208 - Lee A. Christie, Alexander E. I. Brownlee, John R. Woodward:
Investigating benchmark correlations when comparing algorithms with parameter tuning. 209-210 - Yaodong He, Shiu Yin Yuen, Yang Lou:
Exploratory landscape analysis using algorithm based sampling. 211-212 - Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang:
Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization. 213-214 - Genghui Li, Qingfu Zhang, Weifeng Gao:
Multipopulation evolution framework for multifactorial optimization. 215-216 - Yongsheng Liang, Zhigang Ren, Bei Pang, An Chen:
Niching an archive-based gaussian estimation of distribution algorithm via adaptive clustering. 217-218 - Duc Manh Nguyen:
An adapting population size approach in the CMA-ES for multimodal functions. 219-220 - Bei Pang, Zhigang Ren, Yongsheng Liang, An Chen:
Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate models. 221-222 - Kiyoharu Tagawa:
Extension of weighted empirical distribution and group-based adaptive differential evolution for joint chance constrained problems. 223-224 - Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck:
Multi-fidelity surrogate model approach to optimization. 225-226 - Takahiro Yamaguchi, Youhei Akimoto:
A note on the CMA-ES for functions with periodic variables. 227-228 - Lei Zhou, Liang Feng, Jinghui Zhong, Zexuan Zhu, Bingshui Da, Zhou Wu:
A study of similarity measure between tasks for multifactorial evolutionary algorithm. 229-230
Poster: genetic algorithms
- Yu-Hsiang Chung, Tuan-Fang Fan, Churn-Jung Liau:
A comparative study on algorithms for influence maximization in social networks. 231-232 - José Mario García Valdez, Juan Julián Merelo Guervós:
A modern, event-based architecture for distributed evolutionary algorithms. 233-234 - Lina Hao, Bryan Ng:
Using genetic algorithms based on neighbor list mechanism to reduce handover latency for IEEE 802.11 WLAN. 235-236 - Andrei Iacob, Mihail Morosan, Francisco Sepulveda, Riccardo Poli:
Genetic optimisation of BCI systems for identifying games related cognitive states. 237-238 - Salvador Moreno, Julio Ortega, Miguel Damas, Antonio F. Díaz, Jesús González, Héctor Pomares:
Prediction of energy consumption in a NSGA-II-based evolutionary algorithm. 239-240 - Michal Witold Przewozniczek, Marcin M. Komarnicki:
The influence of fitness caching on modern evolutionary methods and fair computation load measurement. 241-242 - Mohammad Roohitavaf, Ling Zhu, Sandeep S. Kulkarni, Subir Biswas:
NetSynth: a framework for synthesizing customized network protocols using genetic programming. 243-244
Poster: general evolutionary computation and hybrids
- Stepán Balcar, Martin Pilát:
Heterogeneous island model with re-planning of methods. 245-246 - Yi Chen, Aimin Zhou, Liang Dou:
An evolutionary algorithm with a new operator and an adaptive strategy for large-scale portfolio problems. 247-248 - Kevin Anthony James Doherty, Khulood AlYahya, Jonathan E. Fieldsend, Ozgur E. Akman:
Voronoi-based archive sampling for robust optimisation. 249-250 - Rong Hao, Jia Zhang, Bin Xin, Chen Chen, Lihua Dou:
A hybrid differential evolution and estimation of distribution algorithm for the multi-point dynamic aggregation problem. 251-252 - Tomohiro Harada, Misaki Kaidan, Ruck Thawonmas:
Crowding distance based promising solution selection in surrogate assisted asynchronous multi-objective evolutionary algorithm. 253-254 - Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina:
Towards management of complex modeling through a hybrid evolutionary identification. 255-256 - Hao Wang, Thomas Bäck:
Ranking empirical cumulative distribution functions using stochastic and pareto dominance. 257-258 - Jinyuan Zhang, Aimin Zhou, Guixu Zhang:
Preselection via one-class classification for evolutionary optimization. 259 - Xinyu Zhou, Yunan Liu, Mingwen Wang, Jianyi Wan, Hui Wang, Wenjun Wang, Hu Peng:
Differential evolution with multi-information guidance. 260-261
Poster: genetic programming
- Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi:
Evolving PSO algorithm design in vector fields using geometric semantic GP. 262-263 - Amir Dehsarvi, Stephen L. Smith:
Classification of resting-state fMRI for olfactory dysfunction in parkinson's disease using evolutionary algorithms. 264-265 - Zhixing Huang, Jinghui Zhong, Weili Liu, Zhou Wu:
Multi-population genetic programming with adaptively weighted building blocks for symbolic regression. 266-267 - Ahmad Mazyad, Fabien Teytaud, Cyril Fonlupt:
Generating term weighting schemes through genetic programming. 268-269 - Eric Medvet, Alberto Bartoli, Andrea De Lorenzo:
Exploring the application of GOMEA to bit-string GE. 270-271 - Miguel Nicolau, Alexandros Agapitos:
On the effect of function set to the generalisation of symbolic regression models. 272-273 - Tetsuroh Watanabe, Taro Kanno, Kazuo Furuta:
Analyzing effects of various trust in product recalls using a social simulation with a co-evolution model. 274-275
Poster: real world applications
- Andrés F. Acosta, Sergio F. Contreras, Camilo A. Cortés:
Performance assessment of a modified multi-objective cuckoo's search algorithm for microgrid planning considering uncertainties. 276-277 - Raymond Chiong, Zongwen Fan, Zhongyi Hu, Marc T. P. Adam, Bernhard Lutz, Dirk Neumann:
A sentiment analysis-based machine learning approach for financial market prediction via news disclosures. 278-279 - Khouloud Eledlebi, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic:
Autonomous deployment of mobile sensors network in an unknown indoor environment with obstacles. 280-281 - Ching-Chi Hsu, Chian-Her Lee, Sung-Ming Hsu:
An optimization study of screw position and number of screws for the fixation stability of a distal femoral locking compression plate using genetic algorithms. 282-283 - Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny:
Evolving imaging model for super-resolution reconstruction. 284-285 - Sonia, Manoj Agarwal, Shikha Gupta, Naveen Kumar:
Discovering pareto-optimal process models: a comparison of MOEA techniques. 286-287 - Florian Leprêtre, Cyril Fonlupt, Sébastien Vérel, Virginie Marion:
SIALAC benchmark: on the design of adaptive algorithms for traffic lights problems. 288-289 - Zhipeng Luo, Jingjing Li:
Genetic algorithm based sleep scheduling for maximizing lifetime of wireless sensor networks. 290-291 - José R. Llera, Erik D. Goodman, Erik S. Runkle, Lihong Xu:
Improving greenhouse environmental control using crop-model-driven multi-objective optimization. 292-293 - Vojtech Mrazek, Zdenek Vasícek:
Evolutionary design of large approximate adders optimized for various error criteria. 294-295 - Yoshihiro Ohta, Hiroyuki Sato:
Evolutionary multi-objective air-conditioning schedule optimization for office buildings. 296-297 - Courtney Powell, Katsunori Miura, Masaharu Munetomo:
Towards a small diverse pareto-optimal solutions set generator for multiobjective optimization problems. 298-299 - Daniel Prado Sanchez, Marcos A. Pertierra, Erik Hemberg, Una-May O'Reilly:
Competitive coevolutionary algorithm decision support. 300-301 - Ian Rogers, Ranjan Srivastava:
Using ensemble modeling to determine causes of multifactorial disorders. 302 - Mayuko Sato, Yoshikazu Fukuyama:
Total optimization of smart city by global-best brain storm optimization. 304-305 - Martin Schlueter, Masaharu Munetomo:
Massively parallelized co-evaluation for many-objective space trajectory optimization. 306-307 - Daniel H. Stolfi, Christian Cintrano, Francisco Chicano, Enrique Alba:
Natural evolution tells us how to best make goods delivery: use vans. 308-309 - Joshua Uyheng, John Clifford Rosales, Kennedy E. Espina, Maria Regina Justina E. Estuar:
Estimating parameters for a dynamical dengue model using genetic algorithms. 310-311 - Zihui Wu, Ying Lin, Yue-jiao Gong, Zhengjia Dai, Jun Zhang:
A novel genetic algorithm for lifetime maximization of wireless sensor networks with adjustable sensing range. 312-313
Poster: search-based software engineering
- Farshad Ghassemi Toosi, Asanka Wasala, Goetz Botterweck, Jim Buckley:
Identification of potential classes in procedural code using a genetic algorithm. 314-315 - Ana Belén Sánchez, Pedro Delgado-Pérez, Inmaculada Medina-Bulo, Sergio Segura:
Search-based mutation testing to improve performance tests. 316-317 - Han Wang, Zhilei Ren, Xiaochen Li, Xin Chen, He Jiang:
Solving team making problem for crowdsourcing with hybrid metaheuristic algorithm. 318-319 - Xiong Xu, Li Jiao, Ziming Zhu:
A dynamic fitness function for search based software testing. 320-321
Poster: theory
- Nina Bulanova, Maxim Buzdalov:
Better fixed-arity unbiased black-box algorithms. 322-323 - Borja Calvo, Josu Ceberio, José Antonio Lozano:
Bayesian inference for algorithm ranking analysis. 324-325 - Pallavi Jain, Lawqueen Kanesh, Jayakrishnan Madathil, Saket Saurabh:
A parameterized runtime analysis of randomized local search and evolutionary algorithm for max l-uncut. 326-327
Tutorials: introductory tutorials
- Shaukat Ali:
Search-based test optimization for software systems. 328-348 - Dimo Brockhoff:
GECCO 2018 tutorial on evolutionary multiobjective optimization. 349-372 - Kenneth A. De Jong:
Evolutionary computation: a unified approach. 373-388 - Benjamin Doerr:
Theory for non-theoreticians: tutorial. 389-414 - Dave Goldberg:
Shift your research & laboratory into higher gear with 3 shift skills & 4 smooth rules. 415-420 - David Ha:
Neuroevolution for deep reinforcement learning problems. 421-431 - Nikolaus Hansen:
A practical guide to experimentation. 432-447 - Per Kristian Lehre, Pietro S. Oliveto:
Runtime analysis of evolutionary algorithms: basic introduction. 448-468 - Risto Miikkulainen:
Evolution of neural networks. 469-488 - Una-May O'Reilly:
Genetic programming: a tutorial introduction. 489-503 - Gabriela Ochoa, Nadarajen Veerapen:
Search-maps: visualising and exploiting the global structure of computational search spaces. 504-517 - Franz Rothlauf:
Representations for evolutionary algorithms. 518-538 - Ofer M. Shir:
Introductory mathematical programming for EC. 539-552 - Dirk Thierens, Peter A. N. Bosman:
Model-based evolutionary algorithms: GECCO 2018 tutorial. 553-583 - Julian Togelius, Sebastian Risi, Georgios N. Yannakakis:
Evolutionary computation and games tutorial. 584-618 - Ryan J. Urbanowicz, Danilo Vasconcellos Vargas:
Introducing learning classifier systems: rules that capture complexity. 619-648 - Mark Wineberg:
Introductory statistics for EC: a visual approach. 649-684 - Daniel R. Tauritz, John R. Woodward:
Hyper-heuristics tutorial. 685-719
Tutorials: advanced tutorials
- Youhei Akimoto, Nikolaus Hansen:
CMA-ES and advanced adaptation mechanisms. 720-744 - Jürgen Branke:
Simulation optimisation: tutorial. 745-772 - Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. 773-799 - Carola Doerr:
Dynamic parameter choices in evolutionary computation. 800-830 - Andries P. Engelbrecht, Christopher Wesley Cleghorn:
Particle swarm optimization: a guide to effective, misconception free, real world use. 831-857 - Bogdan Filipic, Tea Tusar:
Visualization in multiobjective optimization. 858-879 - Krzysztof Krawiec, Malcolm I. Heywood:
Solving complex problems with coevolutionary algorithms. 880-906 - Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. 907-936 - Aneta Neumann, Frank Neumann:
Evolutionary computation for digital art. 937-955 - Ofer M. Shir, Thomas Bäck:
Sequential experimentation by evolutionary algorithms. 956-976 - Lee Spector, Nicholas Freitag McPhee:
Expressive genetic programming: concepts and applications. 977-997 - Giovanni Squillero, Alberto Paolo Tonda:
Promoting diversity in evolutionary optimization: why and how. 998-1016 - Danilo Vasconcellos Vargas:
Evolutionary reinforcement learning: general models and adaptation. 1017-1038 - L. Darrell Whitley, Francisco Chicano, Gabriela Ochoa, Andrew M. Sutton, Renato Tinós:
Next generation genetic algorithms. 1039-1059
Tutorials: specialized tutorials
- Nicolas Bredèche, Stéphane Doncieux, Jean-Baptiste Mouret:
Evolutionary robotics tutorial. 1060-1092 - Manuel López-Ibáñez, Thomas Stützle:
Automated offline design of algorithms. 1093-1120 - Luis Martí, Marc Schoenauer:
Bio-inspired approaches to anomaly and intrusion detection. 1121-1137 - Juan Julián Merelo Guervós:
Cloudy distributed evolutionary computation. 1138-1140 - Stephen L. Smith:
Medical applications of evolutionary computation. 1141-1169 - Carsten Witt:
Theory of estimation-of-distribution algorithms. 1170-1197 - Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. 1198-1220 - Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. 1221-1257
Workshop papers: workshop surrogate-assisted evolutionary optimisation
- Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Paolo Tonda:
Evaluating surrogate models for multi-objective influence maximization in social networks. 1258-1265 - Johannes Karder, Andreas Beham, Bernhard Werth, Stefan Wagner, Michael Affenzeller:
Asynchronous surrogate-assisted optimization networks. 1266-1267
Workshop papers: workshop industrial application of metaheuristics
- Daniel Hein, Steffen Udluft, Thomas A. Runkler:
Generating interpretable fuzzy controllers using particle swarm optimization and genetic programming. 1268-1275
Workshop papers: workshop parallel and distributed evolutionary inspired methods
- Stephyn G. W. Butcher, John W. Sheppard:
An actor model implementation of distributed factored evolutionary algorithms. 1276-1283 - Samuel Ebert, Effat Farhana, Steffen Heber:
A parallel island model for biogeography-based classification rule mining in julia. 1284-1291 - Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Effective processor load balancing using multi-objective parallel extremal optimization. 1292-1299 - Joshua Peake, Martyn Amos, Paraskevas Yiapanis, Huw Lloyd:
Vectorized candidate set selection for parallel ant colony optimization. 1300-1306
Workshop papers: workshop evolution in cognition
- Harold P. de Vladar:
The flouted naming game: contentions and conventions in culture. 1307-1312 - Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu:
Meta-learning by the Baldwin effect. 1313-1320
Workshop papers: workshop new standards for benchmarking in evolutionary computation research
- Camilo Alaguna, Jonatan Gómez:
Maze benchmark for testing evolutionary algorithms. 1321-1328 - Tome Eftimov, Peter Korosec:
The impact of statistics for benchmarking in evolutionary computation research. 1329-1336 - Yang Lou, Shiu Yin Yuen, Guanrong Chen:
Evolving benchmark functions using kruskal-wallis test. 1337-1341 - Luiz Otávio Vilas Boas Oliveira, Joao Francisco B. S. Martins, Luis Fernando Miranda, Gisele L. Pappa:
Analysing symbolic regression benchmarks under a meta-learning approach. 1342-1349
Workshop papers: workshop evolutionary computation software systems
- Jakob Bossek:
Performance assessment of multi-objective evolutionary algorithms with the R package ecr. 1350-1356 - Anthony J. Clark, Jared M. Moore:
Review: a web-based simulation viewer for sharing evolutionary robotics results. 1357-1362 - Hatem Khalloof, Wilfried Jakob, Jianlei Liu, Eric Braun, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer:
A generic distributed microservices and container based framework for metaheuristic optimization. 1363-1370 - Juan Julián Merelo Guervós, José Mario García Valdez:
Performance improvements of evolutionary algorithms in perl 6. 1371-1378 - Edward R. Pantridge, Lee Spector:
Plushi: an embeddable, language agnostic, push interpreter. 1379-1385 - Glen A. Simon, Jared M. Moore, Anthony J. Clark, Philip K. McKinley:
Evo-ROS: integrating evolution and the robot operating system. 1386-1393
Workshop papers: workshop learning classifier systems
- Abdel-Rahman Hedar, Abdel-Monem M. Ibrahim, Alaa E. Abdel-Hakim, Adel A. Sewisy:
Modulated clustering using integrated rough sets and scatter search attribute reduction. 1394-1401 - Zohaib M. Jan, Brijesh K. Verma, Sam Fletcher:
Optimizing clustering to promote data diversity when generating an ensemble classifier. 1402-1409 - Norbert Kozlowski, Olgierd Unold:
Integrating anticipatory classifier systems with OpenAI gym. 1410-1417 - Kazuma Matsumoto, Ryo Takano, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:
XCSR based on compressed input by deep neural network for high dimensional data. 1418-1425 - Kyotaro Ohashi, Natsuki Fujiyoshi, Naoki Sakamoto, Youhei Akimoto:
Model parameter adaptive instance-based policy optimization for episodic control tasks of nonholonomic systems. 1426-1433 - David Pätzel, Jörg Hähner:
An algebraic description of XCS. 1434-1441 - Suin Seo, Sung-Bae Cho:
Applying accuracy-based LCS to detecting anomalous database access. 1442-1448 - Boris Shabash, Kay C. Wiese:
EvoNN: a customizable evolutionary neural network with heterogenous activation functions. 1449-1456 - Takato Tatsumi, Tim Kovacs, Keiki Takadama:
XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noise. 1457-1464 - Fumito Uwano, Koji Dobashi, Keiki Takadama, Tim Kovacs:
Generalizing rules by random forest-based learning classifier systems for high-dimensional data mining. 1465-1472
Workshop papers: workshop landscape-aware heuristic search
- Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig:
Progressive gradient walk for neural network fitness landscape analysis. 1473-1480 - Jonathan E. Fieldsend:
Computationally efficient local optima network construction. 1481-1488 - Werner Mostert, Katherine M. Malan, Andries P. Engelbrecht:
Filter versus wrapper feature selection based on problem landscape features. 1489-1496
Workshop papers: workshop exploration of inaccessible environments through hardware/software co-evolution
- Martin Andraud, Ahmed Hallawa, Jaro De Roose, Eugenio Cantatore, Gerd Ascheid, Marian Verhelst:
Evolving hardware instinctive behaviors in resource-scarce agent swarms exploring hard-to-reach environments. 1497-1504 - Rahul Shivnarayan Mishra, Tushar Semwal, Shivashankar B. Nair:
A distributed epigenetic shape formation and regeneration algorithm for a swarm of robots. 1505-1512
Workshop papers: workshop black box optimization benchmarking 2018
- Aurore Blelly, Matheus Felipe-Gomes, Anne Auger, Dimo Brockhoff:
Stopping criteria, initialization, and implementations of BFGS and their effect on the BBOB test suite. 1513-1517 - Duc Manh Nguyen:
Benchmarking a variant of the CMAES-APOP on the BBOB noiseless testbed. 1521-1528 - Kouhei Nishida, Youhei Akimoto:
Benchmarking the PSA-CMA-ES on the BBOB noiseless testbed. 1529-1536 - Aljosa Vodopija, Tea Tusar, Bogdan Filipic:
Comparing black-box differential evolution and classic differential evolution. 1537-1544
Workshop papers: workshop evolutionary computation for the automated design of algorithms
- Samuel N. Richter, Daniel R. Tauritz:
The automated design of probabilistic selection methods for evolutionary algorithms. 1545-1552 - Emily L. Dolson, Charles Ofria:
Visualizing the tape of life: exploring evolutionary history with virtual reality. 1553-1559 - Mardé Helbig:
Visualising the search process for multi-objective optimisation. 1560-1561 - Rui Wang, Jeff Clune, Kenneth O. Stanley:
VINE: an open source interactive data visualization tool for neuroevolution. 1562-1564
Workshop papers: workshop medical applications of genetic and evolutionary computation
- Marta Cudova, Bradley E. Treeby, Jirí Jaros:
Design of HIFU treatment plans using an evolutionary strategy. 1568-1575 - Milen Georgiev, Ivan Tanev, Katsunori Shimohara:
Coevolving behavior and morphology of simple agents that model small-scale robots. 1576-1583 - Lorenzo Perino, Akihiro Fujii, Tsuyoshi Waku, Akira Kobayashi, Satoru Hiwa, Tomoyuki Hiroyasu:
Solution exploration using multi-objective genetic algorithm for determining experiment candidate. 1584-1589
Workshop papers: workshop genetic improvement 2018
- Oliver Krauss, Hanspeter Mössenböck, Michael Affenzeller:
Dynamic fitness functions for genetic improvement in compilers and interpreters. 1590-1597 - Víctor R. López-López, Leonardo Trujillo, Pierrick Legrand:
Novelty search for software improvement of a SLAM system. 1598-1605 - David Nader-Palacio, Daniel Rodríguez-Cárdenas, Jonatan Gómez:
Assessing single-objective performance convergence and time complexity for refactoring detection. 1606-1613 - Michael Orlov:
Towards modular large-scale darwinian software improvement. 1614-1615 - Mohammad Roohitavaf, Ling Zhu, Sandeep S. Kulkarni, Subir Biswas:
Synthesizing customized network protocols using genetic programming. 1616-1623 - Jifeng Xuan, Yongfeng Gu, Zhilei Ren, Xiangyang Jia, Qingna Fan:
Genetic configuration sampling: learning a sampling strategy for fault detection of configurable systems. 1624-1631
Workshop papers: workshop genetic and evolutionary computation in defense, security and risk management
- Samuel Champagne, Tokunbo Makanju, Chengchao Yao, Nur Zincir-Heywood, Malcolm I. Heywood:
A genetic algorithm for dynamic controller placement in software defined networking. 1632-1639 - Sean N. Harris, Eric Michalak, Kevin Schoonover, Adam Gausmann, Hannah Reinbolt, Joshua Herman, Daniel R. Tauritz, Chris Rawlings, Aaron Scott Pope:
Evolution of network enumeration strategies in emulated computer networks. 1640-1647 - Erik Hemberg, Joseph R. Zipkin, Richard William Skowyra, Neal Wagner, Una-May O'Reilly:
Adversarial co-evolution of attack and defense in a segmented computer network environment. 1648-1655 - Sushil J. Louis, Tianyi Jiang, Siming Liu:
Real-time strategy game micro for tactical training simulations. 1656-1663 - Hadi Mohammed, Ibrahim A. Hameed, Razak Seidu:
Machine learning: based detection of water contamination in water distribution systems. 1664-1671 - Robin Mueller-Bady, Martin Kappes, Inmaculada Medina-Bulo, Francisco Palomo-Lozano:
Using evolutionary dynamic optimization for monitor selection in highly dynamic communication infrastructures. 1672-1679 - Aaron Scott Pope, Robert Morning, Daniel R. Tauritz, Alexander D. Kent:
Automated design of network security metrics. 1680-1687 - Igor Saenko, Igor V. Kotenko:
Genetic algorithms for role mining in critical infrastructure data spaces. 1688-1695
Workshop papers: workshop real-world applications of continuous and mixed-integer optimization
- Atsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto:
Well placement optimization for carbon dioxide capture and storage via CMA-ES with mixed integer support. 1696-1703 - Victor Parque, Tomoyuki Miyashita:
On vehicle surrogate learning with genetic programming ensembles. 1704-1710
Workshop papers: workshop decomposition techniques in evolutionary optimization
- An Chen, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang:
A historical interdependency based differential grouping algorithm for large scale global optimization. 1711-1715 - Minghan Li, Jingxuan Wei:
A cooperative co-evolutionary algorithm for large-scale multi-objective optimization problems. 1716-1721 - Jacopo Talamini, Giovanni Scaini, Eric Medvet, Alberto Bartoli:
Selfish vs. global behavior promotion in car controller evolution. 1722-1727 - Tao Zhan, Zedong Tang, Maoguo Gong, Xiangming Jiang, Jiao Shi:
Decomposition-based multiobjective particle swarm optimization for change detection in SAR images. 1729-1736
Workshop papers: workshop black box discrete optimization benchmarking
- Pascal Kerschke, Jakob Bossek, Heike Trautmann:
Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solvers. 1737-1744 - Sebastian Raggl, Andreas Beham, Viktoria A. Hauder, Stefan Wagner, Michael Affenzeller:
Discrete real-world problems in a black-box optimization benchmark. 1745-1752 - Ofer M. Shir, Carola Doerr, Thomas Bäck:
Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper. 1753-1760 - Markus Ullrich, Thomas Weise, Abhishek Awasthi, Jörg Lässig:
A generic problem instance generator for discrete optimization problems. 1761-1768 - Thomas Weise, Zijun Wu:
Difficult features of combinatorial optimization problems and the tunable w-model benchmark problem for simulating them. 1769-1776 - Ales Zamuda, Miguel Nicolau, Christine Zarges:
A black-box discrete optimization benchmarking (BB-DOB) pipeline survey: taxonomy, evaluation, and ranking. 1777-1782
Workshop papers: workshop evolutionary algorithms for problems with uncertainty
- Khulood AlYahya, Kevin Anthony James Doherty, Ozgur E. Akman, Jonathan E. Fieldsend:
Robust multi-modal optimisation. 1783-1790 - Wei Du, Le Tong, Yang Tang:
A framework for high-dimensional robust evolutionary multi-objective optimization. 1791-1796 - Milen Georgiev, Ivan Tanev, Katsunori Shimohara:
Exploration of the effect of uncertainty in homogeneous and heterogeneous multi-agent societies with regard to their average characteristics. 1797-1804
Workshop papers: workshop intelligent operations management in the energy sector
- José Luis Guerrero, Luis Martí, Nayat Sánchez-Pi, Antonio Berlanga, José Manuel Molina:
Multiobjective evolutionary polygonal approximation for identifying crude oil reservoirs. 1805-1812 - Victor Parque, Tomoyuki Miyashita:
Towards bundling minimal trees in polygonal maps. 1813-1820 - Cristiane Salgado Pereira, Douglas Mota Dias, Marley M. B. R. Vellasco, Francisco Henrique F. Viana, Luis Martí:
Crude oil refinery scheduling: addressing a real-world multiobjective problem through genetic programming and dominance-based approaches. 1821-1828
Workshop papers: workshop evolutionary computation in health care and nursing system
- Iztok Fister, Janez Brest, Andrés Iglesias, Iztok Fister Jr.:
Framework for planning the training sessions in triathlon. 1829-1834 - Yunan He, Ikushi Sawada, Osamu Fukuda, Ryusei Shima, Nobuhiko Yamaguchi, Hiroshi Okumura:
Development of an evaluation system for upper limb function using AR technology. 1835-1840 - Patrick Hock, Chika Oshima, Koichi Nakayama:
CATARO: a robot that tells caregivers a patient's current non-critical condition indirectly. 1841-1844 - Ren Ohmura:
Sustainable sensor network architecture for monitoring human activities. 1845-1848 - Taro Sugihara:
Can evolutionary computing be applied to dementia care? 1849-1851 - Suguru Ueda:
Envy based fairness in hedonic games. 1852-1853 - Caili Zhang, Takato Tatsumi, Hiyoyuki Sato, Tim Kovacs, Keiki Takadama:
Classifier generalization for comprehensive classifiers subsumption in XCS. 1854-1861
Workshop papers: workshop evolutionary algorithms for big data and massively complex problems
- Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters. 1862-1869 - Juan Julián Merelo Guervós, José Mario García Valdez:
Mapping evolutionary algorithms to a reactive, stateless architecture: using a modern concurrent language. 1870-1877
Student workshop papers: workshop students
- Hammad Ahmad, Thomas Helmuth:
A comparison of semantic-based initialization methods for genetic programming. 1878-1881 - Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
A multi-objective optimization design framework for ensemble generation. 1882-1885 - Denis Antipov, Arina Buzdalova, Andrew Stankevich:
Runtime analysis of a population-based evolutionary algorithm with auxiliary objectives selected by reinforcement learning. 1886-1889 - Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
Towards a more general many-objective evolutionary optimizer using multi-indicator density estimation. 1890-1893 - Ryuichi Hashimoto, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima:
Analysis of evolutionary multi-tasking as an island model. 1894-1897 - Chenxu Hu, Hisao Ishibuchi:
Incorporation of a decision space diversity maintenance mechanism into MOEA/D for multi-modal multi-objective optimization. 1898-1901 - Vladimir Mironovich, Maxim Buzdalov, Valeriy Vyatkin:
From fitness landscape analysis to designing evolutionary algorithms: the case study in automatic generation of function block applications. 1902-1905 - Xizi Ni, Hisao Ishibuchi, Kanzhen Wan, Ke Shang, Chukun Zhuang:
Weight vector grid with new archive update mechanism for multi-objective optimization. 1906-1909 - Lee-Ping Pang, Sin Chun Ng:
Improved efficiency of MOPSO with adaptive inertia weight and dynamic search space. 1910-1913 - Edward R. Pantridge, Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector:
Specialization and elitism in lexicase and tournament selection. 1914-1917 - Cara Reedy:
Diploidy for evolving neural networks. 1918-1921 - Shota Saito, Shinichi Shirakawa, Youhei Akimoto:
Embedded feature selection using probabilistic model-based optimization. 1922-1925 - Andrew Tomlinson, Jeremy W. Bryans, Siraj Ahmed Shaikh:
Using a one-class compound classifier to detect in-vehicle network attacks. 1926-1929
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