Abstract
The paper presents a genetic algorithm for multicriteria optimization of parameters of a technological process, which finds a solution not from a certain point but from a specified population. The objective functions are used without their derivatives and probabilistic choice rules are applied. The multicriteria optimization is based on finding a solution that simultaneously optimizes the machining parameters defined by functions of productivity, tool consumption, tool cost, etc.
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Translated from Kibernetika i Sistemnyi Analiz, No. 6, November–December, 2018, pp. 181–188.
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Bohdanova, L.M., Vasilyeva, L.V., Guzenko, D.E. et al. A Software System to Solve the Multi-Criteria Optimization Problem with Stochastic Constraints. Cybern Syst Anal 54, 1013–1018 (2018). https://doi.org/10.1007/s10559-018-0104-2
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DOI: https://doi.org/10.1007/s10559-018-0104-2