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- W2389551475 abstract "Unit dynamic scheduling framework of agile workshop was built based on multi-agent system,facing unit dynamic scheduling solution design and development of agile workshop. Dynamic scheduling thought was proposed with combination of both up-bottom and bottom-up approaches. Then,with integration of fuzzy theory,comprehensive satisfaction degree function of unit dynamic scheduling was established. Evolutionary stable strategy of resources optimization was explained based on evolutionary game theory. By co-evolution genetic algorithm,overall optimization solution of workshop resources reorganization was acquired for many jobs,and the most satisfied decision of unit dynamic scheduling in agile workshop was made with combination of clustering analysis method. Finally,scheduling example was provided to prove validity and feasibility of the algorithm." @default.
- W2389551475 created "2016-06-24" @default.
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- W2389551475 date "2014-01-01" @default.
- W2389551475 modified "2023-09-24" @default.
- W2389551475 title "Co-evolution genetic algorithm for unit dynamic scheduling of agile workshop" @default.
- W2389551475 hasPublicationYear "2014" @default.
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