Optimization of the configuration of manufacturing systems


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Abstract

Software for optimizing the configuration of manufacturing systems so as to reduce expenditures in all stages of the product life cycle is considered. Mathematical expressions are given for the three crossover operators used in the genetic optimization algorithm. A computational experiment indicates the most effective crossover operator.

About the authors

A. I. Sergeev

Orenburg State University

Author for correspondence.
Email: alexandr_sergeew@mail.ru
Russian Federation, Orenburg

A. I. Serdyuk

Orenburg State University

Email: alexandr_sergeew@mail.ru
Russian Federation, Orenburg

V. B. Kuznetsova

Orenburg State University

Email: alexandr_sergeew@mail.ru
Russian Federation, Orenburg

D. V. Kondusov

Orenburg State University

Email: alexandr_sergeew@mail.ru
Russian Federation, Orenburg

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