ICSPEA
| dc.contributor.author | Kersting, Petra | de |
| dc.contributor.author | Mehnen, Jörn | de |
| dc.contributor.author | Rudolph, Günter | de |
| dc.contributor.author | Tipura, Igor | de |
| dc.contributor.author | Wagner, Tobias | de |
| dc.date.accessioned | 2009-05-12T16:01:03Z | |
| dc.date.available | 2009-05-12T16:01:03Z | |
| dc.date.issued | 2007-01 | de |
| dc.description.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. | en |
| dc.identifier.uri | http://hdl.handle.net/2003/26129 | |
| dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-8714 | |
| dc.language.iso | en | de |
| dc.relation.ispartofseries | Reihe CI; 222-07 | de |
| dc.subject | CMA | en |
| dc.subject | Covariance Matrix Adaption | en |
| dc.subject | multi-objective evolutionary algorithms | en |
| dc.subject | SPEA 2 | en |
| dc.subject | Strength Pareto Evolutionary Algorithm | en |
| dc.subject.ddc | 004 | de |
| dc.title | ICSPEA | en |
| dc.title.alternative | Integrating CMA-ES and SPEA2 | en |
| dc.type | Text | de |
| dc.type.publicationtype | report | de |
| dcterms.accessRights | open access |
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