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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Bibliographic Details
Main Author: Handoko, Stephanus Daniel
Other Authors: Kwoh Chee Keong
Format: Theses and Dissertations
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/54901
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Institution: Nanyang Technological University
Language: English
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