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Parameter control in evolutionary algorithms

delete1999-07-01
delete1.3K
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OA
AI
A
A. E. Eiben
R
Robert Hinterding
Z
Zbigniew Michalewicz
DOI:10.1109/4235.771166delete
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Abstract

Abstract

En 中文
The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising areas of research in evolutionary computation: It has a potential of adjusting the algorithm to the problem while solving the problem. In this paper we: 1) revise the terminology, which is unclear and confusing, thereby providing a classification of such control mechanisms, and 2) survey various forms of control which have been studied by the evolutionary computation community in recent years. Our classification covers the major forms of parameter control in evolutionary computation and suggests some directions for further research.
Keywords:
adaptation
evolutionary algorithms
parameter control
self-adaptation

Journal

IEEE Transactions on Evolutionary Computation cover
IEEE Transactions on Evolutionary Computation
IF:
12
Papers:
1.8K
Citations:
2.4W

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