作者: Martin Schütz , Hans-Paul Schwefel
DOI: 10.1016/S0045-7825(99)00382-5
关键词: Speedup 、 Evolutionary algorithm 、 Optimization problem 、 Artificial intelligence 、 Mathematical optimization 、 Evolutionary programming 、 Evolutionary computation 、 Engineering 、 Heuristic (computer science) 、 Human-based evolutionary computation 、 Reliability (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.