Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems

doi:https://doi.org/10.1016/j.knosys.2015.05.029

Open AccessArticle10.1016/j.knosys.2015.05.029

Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems

Alexandru-Ciprian Zăvoianu,Edwin Lughofer,Werner Koppelstätter,Günther Weidenholzer,Wolfgang Amrhein,Erich Peter Klement-2015-06-06-Knowledge-Based Systems

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Keywords

Benchmark (surveying)Computer scienceEvolutionary algorithmAsynchronous communicationSpeedupMathematical optimizationFlexibility (engineering)Evolutionary computation

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