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检索条件"主题词=Stochastic objective function"
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Model Predictive Control with Random Variables of Compound Distributions and stochastic objective function  35
Model Predictive Control with Random Variables of Compound D...
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第35届中国控制会议
作者: CHENG Qifeng WANG Tiantian ZHANG Limin WANG Peizhuang Research and Development Center China Academy of Launch Vehicle Technology Institute of Intelligent Engineering and Mathematics Liaoning Technical University
stochastic model predictive control(SMPC) can be used in a broad variety of fields,such as diverse optimization *** issue which recently emerges is that some random variables contained in the objective function or p... 详细信息
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Improvements of particle filter optimization algorithm for robust optimization under different types of uncertainties
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Heliyon 2025年 第1期11卷 e41573页
作者: Kenyeres, Éva Kummer, Alex Abonyi, János HUN-REN-PE Complex Systems Monitoring Research Group Department of Process Engineering University of Pannonia Egyetem u. 10 P.O. BOX 158 Veszprém H-8200 Hungary
This paper introduces a methodology for handling different types of uncertainties during robust optimization. In real-world industrial optimization problems, many types of uncertainties emerge, e.g., inaccurate settin... 详细信息
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Evolutionary multiobjective optimization in noisy problem environments
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JOURNAL OF HEURISTICS 2009年 第6期15卷 559-595页
作者: Eskandari, Hamidreza Geiger, Christopher D. Tarbiat Modares Univ Sch Ind Engn Tehran Iran Univ Cent Florida Dept Ind Engn & Management Syst Orlando FL 32816 USA
This paper presents a multiobjective evolutionary algorithm (MOEA) capable of handling stochastic objective functions. We extend a previously developed approach to solve multiple objective optimization problems in det... 详细信息
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