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- W1540803420 abstract "In this paper a new evolutionary algorithm is described for multi-objective optimization. The new method handles non-linear objective functions and constraints and supports the decision-maker with an estimation of the Pareto set. This cluster-based method applies the Pareto-dominance principle. It approximates the Pareto set with the prototypes for each cluster and alternative prototypes as secondary population. The non-dominated set is continuously being up-dated: based on the Pareto ranking, the poorest clusters are regularly deleted, and the new ones are set.The method solves the usual test problems with a satisfactory level of accuracy." @default.
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- W1540803420 date "2001-01-01" @default.
- W1540803420 modified "2023-09-27" @default.
- W1540803420 title "A Cluster-Based Evolutionary Algorithm for Multi-objective Optimization" @default.
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- W1540803420 doi "https://doi.org/10.1007/3-540-45493-4_38" @default.
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