Adaptive Memetic Computing for Evolutionary Multiobjective Optimization

Abstract

Inspired by biological evolution, a plethora of algorithms with evolutionary features have been proposed. These algorithms have strengths in certain aspects, thus yielding better optimization performance in a particular problem. However, in a wide range of problems, none of them are superior to one another. Synergetic combination of these algorithms is one… (More)
DOI: 10.1109/TCYB.2014.2331994

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