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- W1574162431 abstract "As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representations as well as carefully designed parameters for crossover and mutation to achieve efficient search. This paper proposes a new chromosome representation and a design of related parameters to solve the FJSP efficiently. The results of applying the new chromosome representation for solving the 10 jobs x 10 machines FJSP are compared with three other chromosome representations. Empirical experiments show that the proposed chromosome representation obtains better results than the others in both quality and processing time required." @default.
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- W1574162431 date "2004-01-01" @default.
- W1574162431 modified "2023-09-27" @default.
- W1574162431 title "An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules" @default.
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- W1574162431 doi "https://doi.org/10.1007/978-3-540-24855-2_19" @default.
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