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Genetic and Evolutionary Computation -- Gecco 2004: Genetic and Evolutionary Computation Conference Seattle, Wa, Usa, June 26-30, 2004, Proceedings, Part I

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Genetic and Evolutionary Computation -- Gecco 2004: Genetic and Evolutionary Computation Conference Seattle, Wa, Usa, June 26-30, 2004, Proceedings, Part I - Deb, Kalyanmoy (Editor), and Poli, Riccardo (Editor), and Banzhaf, Wolfgang (Editor)
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MostMOEAsuseadistancemetricorothercrowdingmethodinobjectivespaceinorder to maintain diversity for the non-dominated solutions on the Pareto optimal front. By ensuring diversity among the non-dominated solutions, it is possible to choose from a variety of solutions when attempting to solve a speci?c problem at hand. Supposewehavetwoobjectivefunctionsf (x)andf (x).Inthiscasewecande?ne 1 2 thedistancemetricastheEuclideandistanceinobjectivespacebetweentwoneighboring individuals and we thus obtain a distance given by 2 2 2 d (x, ...

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Genetic and Evolutionary Computation -- Gecco 2004: Genetic and Evolutionary Computation Conference Seattle, Wa, Usa, June 26-30, 2004, Proceedings, Part I 2004, Springer, Berlin, Germany

ISBN-13: 9783540223443

2004 edition

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Genetic and Evolutionary Computation -- Gecco 2004: Genetic and Evolutionary Computation Conference, Seattle, Wa, Usa, June 26-30, 2004 Proceedings, Part II 2004, Springer, Berlin, Germany

ISBN-13: 9783540223436

2004 edition

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