Evolutionary optimization for computationally expensive problems

Despite all the appealing features of Evolutionary Algorithms (EAs), thousands of calls to the analysis or simulation codes are often required to locate a near optimal solution. Two major solutions for this issue are: 1) to use computationally less expensive surrogate models, and 2) to use parallel...

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Bibliographic Details
Main Author: Lim, Dudy
Other Authors: Jin Yaochu
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
Online Access:https://hdl.handle.net/10356/19262
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Institution: Nanyang Technological University
Language: English
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