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  • 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.
  • 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. (en)
Title
  • Clustered enhanced differential evolution for the blocking flow shop scheduling problem
  • Clustered enhanced differential evolution for the blocking flow shop scheduling problem (en)
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  • Clustered enhanced differential evolution for the blocking flow shop scheduling problem
  • Clustered enhanced differential evolution for the blocking flow shop scheduling problem (en)
skos:notation
  • RIV/70883521:28120/12:43868163!RIV13-MSM-28120___
http://linked.open...avai/predkladatel
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  • P(ED2.1.00/03.0089), S
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  • 4
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  • 127487
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  • RIV/70883521:28120/12:43868163
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  • Evolutionary Algorithms; Scheduling; Flow shop Scheduling with Blocking; Differential Evolution (en)
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  • US - Spojené státy americké
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  • [9FE4C5CE2422]
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  • Central European Journal of Operation Research
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  • 20
http://linked.open...iv/tvurceVysledku
  • Bialic-Davendra, Magdalena Lucyna
  • Jašek, Roman
  • Zelinka, Ivan
  • Šenkeřík, Roman
  • Davendra, Donald
http://linked.open...ain/vavai/riv/wos
  • 000310229300006
issn
  • 1435-246X
number of pages
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  • 10.1007/s10100-011-0198-3
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  • 28120
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