Abstract | ||
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Recent works in evolutionary multiobjective optimization suggest to shift the focus from solely evaluating optimization success in the objective space to also taking the decision space into account. They indicate that this may be a) necessary to express the users requirements of obtaining distinct solutions (distinct Pareto set parts or subsets) of similar quality (comparable locations on the Pareto front) in real-world applications, and b) a demanding task for the currently most commonly used algorithms.We investigate if standard EMOA are able to detect and preserve equivalent Pareto subsets and develop an own special purpose EMOA that meets these requirements reliably. |
Year | Venue | Keywords |
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2006 | EMO | Pareto front,distinct solution,decision space,optimization success,equivalent Pareto subsets,equivalent pareto subsets,own special purpose EMOA,objective space,standard EMOA,evolutionary multiobjective optimization,distinct Pareto |
DocType | Volume | ISSN |
Conference | 4403 | 0302-9743 |
Citations | PageRank | References |
35 | 1.67 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Günter Rudolph | 1 | 219 | 48.59 |
Boris Naujoks | 2 | 704 | 47.78 |
Preuss Mike | 3 | 933 | 81.70 |