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- research-articleNovember 2021
A Two-stage Simulation Assisted Differential Evolution Algorithm for Reliable Chance Constrained Programming with Minimum Risk Level
Applied Soft Computing (APSC), Volume 111, Issue Chttps://doi.org/10.1016/j.asoc.2021.107637AbstractRecently the literature of Simulation Optimization for solving stochastic constrained optimization problems has been substantially increasing. From the optimization perspective, the population based meta-heuristics algorithms, such as ...
Highlights- Proposed two-stage simulation assisted EA for chance constraints.
- Minimum risk ...
- articleNovember 2011
Fleet Management for Vehicle Sharing Operations
Transportation Science (TRNPS), Volume 45, Issue 4Pages 524–540https://doi.org/10.1287/trsc.1100.0347Astochastic, mixed-integer program (MIP) involving joint chance constraints is developed that generates least-cost vehicle redistribution plans for shared-vehicle systems such that a proportion of all near-term demand scenarios are met. The model aims ...
- ArticleSeptember 2010
Fuzzy chance constrained support vector machine
This paper aims to improve the performance of the widely used fuzzy support vector machine (FSVM) model. By introducing a fuzzy possibility measure, we first modify the original inequality constraints of FSVM optimization model as chance constraints. We ...
- research-articleJuly 2010
Slow adaptive OFDMA systems through chance constrained programming
IEEE Transactions on Signal Processing (TSP), Volume 58, Issue 7Pages 3858–3869https://doi.org/10.1109/TSP.2010.2046434Adaptive orthogonal frequency division multiple access (OFDMA) has recently been recognized as a promising technique for providing high spectral efficiency in future broadband wireless systems. The research over the last decade on adaptive OFDMA systems ...
- research-articleJune 2010
Timing-based placement considering uncertainty due to process variations
IEEE Transactions on Very Large Scale Integration (VLSI) Systems (ITVL), Volume 18, Issue 6Pages 1007–1011https://doi.org/10.1109/TVLSI.2009.2017540In the nanometer regime, the effects of variations are having an increasing impact on the delay, power, and yield characteristics of devices. In this paper, we propose the use of fuzzy and stochastic mathematical programming techniques for variation ...
- ArticleNovember 2009
Simulation based multi-objective extremal optimization algorithm for electronic reconnaissance satellites scheduling problem
IITA'09: Proceedings of the 3rd international conference on Intelligent information technology applicationPages 472–476A multi-objective chance constrained programming model(MOCCPM) for electronic reconnaissance satellites scheduling problem(ERSSP) is presented. MOCCPM takes the uncertainties in the course of satellite electronic reconnaissance into account, as well as ...
- articleJanuary 2000
- articleOctober 1986
Emergency Government Interventions: Case Study of Natural Gas Shortages
Management Science (MANS), Volume 32, Issue 10Pages 1242–1258We present a framework, decision models, and supporting methods to improve government's decisions on a class of intervention problems. The example used is on natural gas shortages. We provide three decision models that move progressively from regulated ...
- articleJune 1981
Decision Problems Under Risk and Chance Constrained Programming: Dilemmas in the Transition
Management Science (MANS), Volume 27, Issue 6Pages 698–716https://doi.org/10.1287/mnsc.27.6.698Some important conceptual problems concerning the application of chance constrained programming CCP to risky practical decision problems are discussed by comparing CCP to stochastic programming with recourse SPR. We expand on Garstka's distinction ...
