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Clustered enhanced differential evolution for the blocking flow shop scheduling problem

Donald Davendra (), Ivan Zelinka (), Magdalena Bialic-Davendra (), Roman Senkerik () and Roman Jasek ()

Central European Journal of Operations Research, 2012, vol. 20, issue 4, 679-717

Abstract: A novel clustered population paradigm is presented in this paper which is based on Chaos principles of edges and attractors. Convergence in evolutionary algorithms is viewed as a manifestation through cyclic dynamics and thus a new population is developed which is clustered and separated through new segregation bias rules. This population is embedded on the Enhanced Differential Evolution and the flow shop scheduling problem with blocking is solved. The two flow shop benchmark problems of Rec/Car/Hel and Taillard are solved with this new approach and the results favorably compared with published results in literature. A total of 49 new upper bounds for the Taillard problems was obtained during experimentation. Copyright Springer-Verlag 2012

Keywords: Differential Evolution; Flow shop Scheduling with Blocking; Scheduling; Evolutionary Algorithms (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/s10100-011-0198-3

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Central European Journal of Operations Research is currently edited by Ulrike Leopold-Wildburger

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