A production scheduling method based on improved genetic algorithm for dismantling retired power batteries

Pei Gen Tian; Xi Xiao; Yi Zhang

doi:10.1117/12.2645537

30 August 2022 A production scheduling method based on improved genetic algorithm for dismantling retired power batteries

Pei Gen Tian, Xi Xiao, Yi Zhang

Author Affiliations +

Proceedings Volume 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022); 1230928 (2022) https://doi.org/10.1117/12.2645537
Event: International Conference on Advanced Manufacturing Technology and Manufacturing System (ICAMTMS 2022), 2022, Shijiazhuang, China

Abstract

A production scheduling method based improved genetic algorithm is proposed to minimize the completion time of dismantling decommissioned power batteries. The crossover operator of the genetic algorithm is designed to increase the diversity of individuals in the offspring population, expand the population size during the iteration of the algorithm, improve the coverage of the population, and increase the convergence speed of the population by retaining the excellent chromosomes. The algorithm is tested by using arithmetic example. The results show that the proposed improved genetic algorithm significantly outperforms the standard simulated annealing algorithm and the traditional genetic algorithm.

Citation Download Citation

Pei Gen Tian, Xi Xiao, and Yi Zhang "A production scheduling method based on improved genetic algorithm for dismantling retired power batteries", Proc. SPIE 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022), 1230928 (30 August 2022); https://doi.org/10.1117/12.2645537

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