Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7625
Title: | Efficiency speed-up strategies for evolutionary computation: Fundamentals and fast-GAs |
Authors: | Xu, Zong-Ben Prof. LEUNG Kwong Sak Liang, Yong Leung, Yee |
Issue Date: | 2003 |
Source: | Applied Mathematics and Computation, 2003, vol. 142 ( 2-3), pp. 341 - 388 |
Journal: | Applied Mathematics and Computation |
Abstract: | The efficiency speed-up strategies for evolutionary computation were discussed. Incorporation of the strategies with any known evolutionary algorithm leads to an accelerated version of the algorithm. An arbitrarily high-precision (resolution) solution of a high-dimensional problem was obtained by means of a successive low-resolution search in low-dimensional search spaces. The fast-genetic algorithms were experimentally tested with a test suit containing 10 complex multimodal function optimization problems. |
Type: | Peer Reviewed Journal Article |
URI: | http://hdl.handle.net/20.500.11861/7625 |
ISSN: | 00963003 |
DOI: | 10.1016/S0096-3003(02)00309-0 |
Appears in Collections: | Applied Data Science - Publication |
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