Abstract
The paper presents the representation of solutions and design of genetic operators for solving of flexible job shop problem (FJSP). Effective methods of representation of problems with the object of further use of genetic operators are considered. Permutation with repetitions are connected with genes which code foreground location of machines for seperate operations. Repairing of chromosomes after crossover for obtaining feasible schedules, as well as the two auxiliary functions IsValid and FindValid are describes. Our computional tests shows that the proposed representation is effective in improving solution quality.
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Witkowski, T., Elzway, S., Antczak, A., Antczak, P. (2007). Representation of Solutions and Genetic Operators for Flexible Job Shop Problem. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_29
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DOI: https://doi.org/10.1007/978-3-540-74282-1_29
Publisher Name: Springer, Berlin, Heidelberg
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