Evolutionary approaches to solve three challenging engineering tasks

作者: Martin Schütz , Hans-Paul Schwefel

DOI: 10.1016/S0045-7825(99)00382-5

关键词: SpeedupEvolutionary algorithmOptimization problemArtificial intelligenceMathematical optimizationEvolutionary programmingEvolutionary computationEngineeringHeuristic (computer science)Human-based evolutionary computationReliability (computer networking)

摘要: Abstract Three applications of evolutionary algorithms, namely the optimization nuclear core reload design, synthesis multi-layer optical coatings, and chemical engineering plants, are presented in this paper. The examples demonstrate applicability approach to solve complex real-world problems. These problems often mixed-integer, variable-dimensional multi-criteria Additionally, instead an objective function, given a closed form, simulation models used as thus prohibiting success by means classical analysis. Although standard algorithms not able three tasks here, enhanced (EAs) clearly their potential do so. Through examples, we show necessary ingredients for tackling In addition adequate representations appropriate operators, one needs integrate expert knowledge heuristic operators guide search. Finally, parallel EAs needed improve reliability speed up algorithms.

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