Abstract
The article deals with the development of methods of solving operational production planning problems. Authors formulated the operational production planning problem statement, determined constraints and the objective function. The scheme of solutions encoding and modified genetic operators are developed to consider the problem character. Authors proposed the hybrid algorithm model based on integration of genetic search methods and fuzzy control approach. Experimental research of developed algorithms characteristics allows us to determine their time complexity. Obtained results show the effectiveness of suggested approach.
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Acknowledgment
This research is supported by the grant from the Russian Foundation for Basic Research (project # 16-01-00715, 17-01-00627).
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Gladkov, L.A., Gladkova, N.V., Gromov, S.A. (2017). Hybrid Fuzzy Algorithm for Solving Operational Production Planning Problems. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Artificial Intelligence Trends in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-319-57261-1_44
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DOI: https://doi.org/10.1007/978-3-319-57261-1_44
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