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http://dx.doi.org/10.5391/JKIIS.2011.21.2.206

Evolutionary Analysis for Continuous Search Space  

Lee, Joon-Seong (경기대학교 기계시스템공학과)
Bae, Byeong-Gyu (경기대학교 대학원 기계공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.21, no.2, 2011 , pp. 206-211 More about this Journal
Abstract
In this paper, the evolutionary algorithm was specifically formulated for optimization with continuous parameter space. The proposal was motivated by the fact that the genetic algorithms have been most intensively reported for parameter identification problems with continuous search space. The difference of primary characteristics between genetic algorithms and the proposed algorithm, discrete or continuous individual representation has made different areas to which the algorithms should be applied. Results obtained by optimization of some well-known test functions indicate that the proposed algorithm is superior to genetic algorithms in all the performance, computation time and memory usage for continuous search space problems.
Keywords
Evolutionary Algorithm; Continuous Search Space;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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