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Understanding evolutionary computing: a hands on approach

Collins, T. D. (1998). Understanding evolutionary computing: a hands on approach. In: 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360), p. 564.

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Evolutionary computing is the study of robust search algorithms based on the principles of evolution. An evolutionary algorithm (EA) searches a problem space in order to find regions containing good solutions. Typically EA users judge the quality of their algorithms by the quality of the solutions found. This approach ignores the behavior of the search algorithm and concentrates solely on the outcome. As a result, the user is unaware of their algorithm's actions or how the solutions were discovered. This paper describes how search space visualizations can be used to facilitate the user's understanding of evolutionary computing. A set of examples are presented showing how the user can take a “hands on” approach to explore the behavior of their algorithms and interact with the evolutionary search process.

Item Type: Conference or Workshop Item
Copyright Holders: 1998 IEEE
Project Funding Details:
Funded Project NameProject IDFunding Body
Studentship94315065EPSRC (Engineering and Physical Sciences Research Council)
Extra Information: ISBN: 0-7803-4869-9
Keywords: evolutionary algorithm; evolutionary computing; evolutionary search process; robust search algorithms; search algorithm; search space visualizations
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 23766
Depositing User: Kay Dave
Date Deposited: 15 Apr 2011 08:42
Last Modified: 28 May 2019 09:46
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