Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms

Multiobjective evolutionary algorithms evolve a population of solutions through successive generations toward the Pareto-optimal front (POF). One of the most critical questions faced by the researchers and practitioners in this domain relates to the number of generations that may be sufficient for a...

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Veröffentlicht in:	IEEE transactions on evolutionary computation 2016-08, Vol.20 (4), p.485-498
Hauptverfasser:	Saxena, Dhish Kumar, Sinha, Arnab, Duro, Joao A., Zhang, Qingfu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation Approximation methods Computation Criteria Detection algorithms Entropy Evolution Evolutionary algorithms evolutionary multiobjective optimization many-objective optimization Mathematical analysis Mathematical models Optical fibers Probability distribution Sociology Statistics termination detection algorithm
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