Parallelizing multi-objective evolutionary algorithms: cone separation
Published in Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) • Feb 22, 2005
NobleIDNI1P37W01R73S30
Authors:,,
Juergen Branke
Hartmut Schmeck
Kalyanmoy Deb
Abstract
Evolutionary multi-objective optimization (EMO) may be computationally quite demanding, because instead of searching for a single optimum, one generally wishes to find the whole front of Pareto-optimal solutions. For that reason, parallelizing EMO is an important issue. Since we are looking for a nu...
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