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Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art. (English) Zbl 1026.74056
The paper provides a comprehensive survey of the most popular constraint-handling techniques currently used in evolutionary algorithms. The author reviews approaches that go from simple variations of penalty function, to others, more sophisticated, that are biologically inspired by emulations of immune systems and by the study of culture or ant colonies. Besides briefly description of each of these approaches, some criticism is given regarding their highlights and drawbacks. Also the author provides some guidelines how to select the most appropriate constraint-handling techniques for certain applications. The paper can be interesting to students, engineers and scientists working in the area of structural optimization.
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