pMOHypEA: Parallel Evolutionary Multiobjective Optimization using Hypergraphs
Torsten Kohlen, Jörn Mehnen, Thomas M. Michelitsch, Karlheinz Schmitt · Technische Universität Dortmund Eldorado (Technische Universität Dortmund) · 2006
University of Dortmund, Chair of Systemanalysis, [email protected], WWW home page:http://ls11-www.cs.uni-dortmund.deAbstract. An overview of the state-of-the-art in parallel evolutionarymultiobjective optimization with a special view on the population struc-tures is presented. An introduction to the theory of hypergraphs is given.The idea of hypergraphs is to scale freely between all existing populationstructures from coarse-grained island-models to flne-grained difiusion-models. Implementation details of pMOHypEA, a parallel evolutionarymultiobjective optimization system that uses hypergraphs to structurepopulations, are given. First results of the concept are discussed.