Constraint-oriented refinement-efficacious memetic algorithms for efficient optimization of computationally-expensive problems

Successes of the Memetic Algorithms (MAs) have since alleviated the problems of local optimum trap of the deterministic optimization techniques as well as of slow, imprecise convergence of the stochastic optimization approaches. Through the hybridization of local search and global search by interlea...

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主要作者: Handoko, Stephanus Daniel
其他作者: Kwoh Chee Keong
格式: Theses and Dissertations
語言:English
出版: 2013
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在線閱讀:https://hdl.handle.net/10356/54901
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機構: Nanyang Technological University
語言: English