Abstract
This paper focuses on the design of control strategies for Evolutionary Algorithms. We propose a method to encapsulate multiple parameters, reducing control to only one criterion. This method allows to define generic control strategies independently from both the algorithm’s operators and the problem to be solved. Three strategies are proposed and compared on a classical optimization problem, considering their generality and performance.
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Maturana, J., Saubion, F. (2008). On the Design of Adaptive Control Strategies for Evolutionary Algorithms. In: Monmarché, N., Talbi, EG., Collet, P., Schoenauer, M., Lutton, E. (eds) Artificial Evolution. EA 2007. Lecture Notes in Computer Science, vol 4926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79305-2_26
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DOI: https://doi.org/10.1007/978-3-540-79305-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79304-5
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