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Lessons learned in application of evolutionary computation to a set of optimization tasks

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Published:08 July 2009Publication History

ABSTRACT

Many GECCO papers discuss lessons learned in a particular application, but few papers discuss lessons learned over an ensemble of problem areas. A scan of the tables of contents of the Proceedings from GECCO 2005 and 2006 showed no paper title stressing lessons learned although the term "pitfall" appeared occasionally in abstracts, typically applying to a particular practice. We present in this paper a set of broadly applicable "lessons learned" in the application of evolutionary computing (EC) techniques to a variety of problem areas and present advice related to encoding, running, monitoring, and managing an evolutionary computing task.

References

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  1. Lessons learned in application of evolutionary computation to a set of optimization tasks

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          • Published in

            cover image ACM Conferences
            GECCO '09: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
            July 2009
            1760 pages
            ISBN:9781605585055
            DOI:10.1145/1570256

            Copyright © 2009 Copyright is held by the author/owner(s)

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 8 July 2009

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