A Forex trading expert system based on a new approach to the rule-base evidential reasoning
A new approach to the rule-base evidential reasoning (RBER) is proposed.The Dempster's rule may provide wrong results when a conflict is absent.The Forex trading expert system based on a new approach is developed.The advantages of the proposed approach ...
GRASP with path relinking for the selective pickup and delivery problem
We study the selective pickup and delivery problem.We present a GRASP with path-relinking for solving the described problem.The heuristic is simple to implement and has only three parameters.The heuristic can generate high quality solutions using small ...
Curvature aided Hough transform for circle detection
Curvature radius is adopted to improve the H-transform for circle detection.Curvature pre-estimation avoids senseless accumulation operation, work faster.The CACD is capable to detect circles of different radius in complex scene."Statistic deviation" is ...
A two-echelon location-routing model for designing recycling logistics networks with profit
A 2E-LR problem for designing recycling network is presented.MILP model with profit and distance dependent collection rate.Efficient heuristics to solve large problem instances is developed. This paper presents a mathematical formulation of a two-...
Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials
A stochastic model for the locating and allocation of facilities of hazardous material is proposed.The model studies the transportation of hazardous material and supplying customers with goods.Environmental risk, profitability, and cost stochasticity ...
Control based on techno-economic optimization of renewable hybrid energy system for stand-alone applications
Control focused on optimizing the lifecycle costs of a stand-alone hybrid system.Combination of renewable sources, battery and hydrogen systems.The modeling includes the electric models of the components.The system assures reliable electricity support ...
Multi-objective optimization of hybrid backorder inventory model
An intelligent hybrid backorder inventory system is developed with MOPSO.Pareto curves are generated between cost and service levels for the practitioners.Sensitivity of optimal parameters with respect to holding cost is studied.Applications of proposed ...
Semi-supervised support vector regression based on self-training with label uncertainty
A new semi-supervised support vector regression method is proposed.Label distribution is estimated by probabilistic local reconstruction algorithm.Different oversampling rate is used based on uncertainty information.Expected margin based pattern ...
Intelligent contingent multi-sourcing model for resilient supply networks
We develop an intelligent contingent multi-sourcing model when disruptions occur.We evaluate the performance of our model in terms of lost sale and total cost.We analyze the performance of our model under various costs and disruption rates.Our model ...
Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning
We present an evolutionary multiobjective optimisation approach for PI controller tuning.This approach incorporates designer's preferences into the optimisation process.The methodology is evaluated in a multivariable process.It is possible to improve ...
Feature engineering strategies for credit card fraud detection
Credit card fraud detection evaluation measure.Each example is assumed to have different financial cost.Transaction aggregation strategy for predicting fraud.Periodic features using the von Mises distribution.Code is open source and available at ...
A new fast fuzzy partitioning algorithm
A new fast fuzzy partitioning algorithm is proposed.The algorithm is able to find a fuzzy globally optimal partition.The algorithm is able to estimate the most appropriate number of clusters. In this paper, a new fast incremental fuzzy partitioning ...
Clustering using PK-D
New dissimilarity joining connectivity and density information.Clustering using low vector space representation based on the new dissimilarity.Interesting clustering application using gene expression and image data.Improved clustering quality of simple ...
A self-guided differential evolution with neighborhood search for permutation flow shop scheduling
Constructive heuristics and discrete harmony search are used to initialize.A guided agent based on the probabilistic model is proposed.Multiple mutation and crossover based on the guided agent are proposed.Neighborhood search based on the variable ...
Discrete particle swarm optimization method for the large-scale discrete time-cost trade-off problem
A novel PSO method is presented for the discrete time-cost trade-off problem (DTCTP).The proposed discrete PSO outperforms the state-of-the-art methods.High quality solutions are achieved within seconds for large-scale instances.New large scale ...
New off-line Handwritten Signature Verification method based on Artificial Immune Recognition System
A new system for Handwritten Signature Verification is proposed.The Artificial Immune Recognition System is proposed to achieve the verification task.Two new features that are Gradient Local Binary Patterns and Longest Run Features are proposed.Results ...
Priority-based constructive algorithms for scheduling agile earth observation satellites with total priority maximization
We study an Earth observation scheduling problem from China's satellite platform.We develop priority-based indicators based on a cost-benefit analysis method.We employ a sequential construction procedure to generate feasible solutions.We evaluate the ...
Bayesian network classifiers based on Gaussian kernel density
We construct ENBC by imposing dependency extension on NBC with continuous attributes.We combine smoothing parameter adjustment and the structure learning.We control and optimize the fitting degree between classifier and data.We present that the ...
A new belief rule base knowledge representation scheme and inference methodology using the evidential reasoning rule for evidence combination
Generalised belief rules are introduced as an extension of traditional rules.A knowledge representation scheme based on generalised belief rules is presented.An inference methodology using the evidential reasoning approach is proposed. In this paper, we ...
A system dynamics modeling approach for a multi-level, multi-product, multi-region supply chain under demand uncertainty
SD approach is used for multi-level, multi-product, multi region supply chain under demand uncertainty.The model is constructed in two distinctive sections including order placement and order fulfillment.The numerical example is applied for showing the ...
Change detection of ocean wave characteristics
The first attempt to explore feature extractions of ocean HF radar data.Developed the systematic feature extraction algorithm for complex ocean wave signals.The high performances on the characteristic change detection of ocean waves. In this paper, a ...
Predicate enrichment of aligned XPaths for wrapper induction
Proposed XPath predicate enrichments for wrapper induction approach.Built on generalisation strategy that aligns and merge XPaths.Focus on taking full advantage of XPath syntax for wrapper construction.Test data (PostgreSQL db) supplied, based on the ...
Ridders algorithm in approximate inversion of fuzzy model with parametrized consequences
The paper presents approximate inversion of fuzzy model with parametrized consequences.The method inverts an existing model.The method uses Ridders algorithm.The paper formulates a theorem for quicker inversion. Fuzzy models are known for their ability ...
Handling data skew in join algorithms using MapReduce
We introduce a skew handling algorithm, called multi-dimensional range partitioning.The proposed algorithm is more efficient than traditional MapReduce-based join algorithms.The proposed algorithm is scalable regardless of the size of input data. One of ...
