Journal
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
Volume 191, Issue 11-12, Pages 1245-1287Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/S0045-7825(01)00323-1
Keywords
evolutionary algorithms; constraint handling; evolutionary optimization
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This paper provides a comprehensive survey of the most popular constraint-handling techniques currently used with evolutionary algorithms. We review approaches that go from simple variations of a penalty function, to others, more sophisticated, that are biologically inspired on emulations of the immune system, culture or ant colonies. Besides describing briefly each of these approaches (or groups of techniques), we provide some criticism regarding their highlights and drawbacks. A small comparative study is also conducted, in order to assess the performance of several penalty-based approaches with respect to a dominance-based technique proposed by the author, and with respect to some mathematical programming approaches. Finally, we provide some guidelines regarding how to select the most appropriate constraint-handling technique for a certain application. and we conclude with some of the most promising paths of future research in this area. (C) 2002 Elsevier Science B.V. All rights reserved.
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