作者: Jörn Grahl
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摘要: This thesis considers the analysis, design and application of Estimation Distribution Algorithms (EDA) in Logistics. It approaches continouos nonlinear optimization problems (standard test stochastic transportation problems) as well location problems, strategic safety stock placement lotsizing problems. The adds to existing literature by proposing theoretical advances for continuous EDAs practical applications discrete EDAs. Thus, it should be interest researchers from evolutionary computation, practitioners that are need efficient algorithms above mentioned