DocumentCode :
3780
Title :
Parameter Control in Evolutionary Algorithms: Trends and Challenges
Author :
Karafotias, Giorgos ; Hoogendoorn, Mark ; Eiben, A.E.
Author_Institution :
Comput. Intell. Group, VU Univ. Amsterdam, Amsterdam, Netherlands
Volume :
19
Issue :
2
fYear :
2015
fDate :
Apr-15
Firstpage :
167
Lastpage :
187
Abstract :
More than a decade after the first extensive overview on parameter control, we revisit the field and present a survey of the state-of-the-art. We briefly summarize the development of the field and discuss existing work related to each major parameter or component of an evolutionary algorithm. Based on this overview, we observe trends in the area, identify some (methodological) shortcomings, and give recommendations for future research.
Keywords :
evolutionary computation; search problems; evolutionary algorithms; heuristic search; parameter control; Algorithm design and analysis; Evolutionary computation; Genetic algorithms; Sociology; Statistics; Taxonomy; Tuning; Evolutionary algorithm; heuristic search; methodology; parameter control;
fLanguage :
English
Journal_Title :
Evolutionary Computation, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-778X
Type :
jour
DOI :
10.1109/TEVC.2014.2308294
Filename :
6747993
Link To Document :
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