Authors: Kersting, Petra
Mehnen, Jörn
Rudolph, Günter
Tipura, Igor
Wagner, Tobias
Other Titles: Integrating CMA-ES and SPEA2
Language (ISO): en
Abstract: The covariance matrix adaptation (CMA) is a concept originally introduced for improving the single-objective evolution strategy (ES). CMA varies the classical ES-mutation operator by utilising a mutation distribution adaptation scheme and an evolution path, which takes the evolutionary history into account. SPEA2 surely belongs to the most popular multi-objective evolutionary algorithms. It uses the strength Pareto concept and a special distribution measure for the evaluation of offspring individuals. An archive collects non-dominated individuals, which are used during selection, making the SPEA2 a typical elitist strategy. The new ICSPEA (Integrated CMA-SPEA) combines the powerful mutation concept of the CMA-ES with the evaluation scheme of the SPEA2. Tests on selected benchmark functions show the promising features of this new multi-objective optimisation algorithm.
Subject Headings: CMA
Covariance Matrix Adaption
multi-objective evolutionary algorithms
Strength Pareto Evolutionary Algorithm
Issue Date: 2007-01
Appears in Collections:Sonderforschungsbereich (SFB) 531

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