Parameter Setting in Evolutionary Algorithms
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and inc
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Fernando G. Lobo, Cl´audio F. Lima and Zbigniew Michalewicz (Eds.) Parameter Setting in Evolutionary Algorithms
Studies in Computational Intelligence, Volume 54 Editor-in-chief Prof. Janusz Kacprzyk Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw Poland E-mail: [email protected] Further volumes of this series can be found on our homepage: springer.com Vol. 33. Martin Pelikan, Kumara Sastry, Erick Cant´u-Paz (Eds.) Scalable Optimization via Probabilistic Modeling, 2006 ISBN 978-3-540-34953-2
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