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Research on Optimization of Enterprise Production Line Based on Genetic Algorithm

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Chengjun Ji

    (Liaoning Technical University)

  • Liangliang Hu

    (Liaoning Technical University)

Abstract

The purpose of this paper is to study how to optimize the production line of enterprises by using genetic algorithm, so as to improve the production efficiency and economic benefit of enterprises. In this study, we apply genetic algorithm to the production line optimization problem. Through the understanding and application of basic genetic algorithm, the optimization objective is transformed into a fitness function, and the operation of crossover, mutation and selection is used to optimize the fitness function. We divided the optimization process into two stages: the generation of initial population and the iterative optimization of genetic algorithm. Through experiments, we verify the effectiveness of genetic algorithm in the production line optimization problem, and draw a conclusion: genetic algorithm can effectively optimize the production line, improve production efficiency and economic benefits.

Suggested Citation

  • Chengjun Ji & Liangliang Hu, 2024. "Research on Optimization of Enterprise Production Line Based on Genetic Algorithm," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 512-517, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_52
    DOI: 10.2991/978-94-6463-256-9_52
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