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  • Scheduling problems we can meet in many practical applications, e.g. in production management (flow shop scheduling, job shop scheduling), project management, timetabling, etc. The common feature of these problems is their combinatorial character. In practical problems a space of feasible solutions is so large that it is impossible to search the optimal solution by testing each solution. From this reason heuristic (approximate) methods are preferred to searching a solution, and among them especially stochastic methods (genetic algorithms, simulated annealing and tabu-search) are used.
  • Scheduling problems we can meet in many practical applications, e.g. in production management (flow shop scheduling, job shop scheduling), project management, timetabling, etc. The common feature of these problems is their combinatorial character. In practical problems a space of feasible solutions is so large that it is impossible to search the optimal solution by testing each solution. From this reason heuristic (approximate) methods are preferred to searching a solution, and among them especially stochastic methods (genetic algorithms, simulated annealing and tabu-search) are used. (en)
Title
  • Fuzzy Approaches to Flow Shop Scheduling
  • Fuzzy Approaches to Flow Shop Scheduling (en)
skos:prefLabel
  • Fuzzy Approaches to Flow Shop Scheduling
  • Fuzzy Approaches to Flow Shop Scheduling (en)
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  • RIV/00216305:26210/99:PU56167!RIV11-MSM-26210___
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  • V, Z(MSM 261100009)
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  • 741078
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  • RIV/00216305:26210/99:PU56167
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  • flow shop scheduling, fuzzy constraints, heuristic methods (en)
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  • [02D0A832F46F]
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  • Rožnov pod Radhoštěm
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  • Rožnov pod Radhoštěm
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  • Proceedings of the 33rd Spring International Conference Modelling and Simulation of Systems MOSIS '99
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  • Dvořák, Jiří
  • Šeda, Miloš
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number of pages
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  • MARQ Ostrava
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  • 80-85988-33-X
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  • 26210
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