Research on scheduling optimization problem of process industry based on improved gray wolf algorithm

Shuo Lin; Shishi Li; Shunchao Zhang

doi:10.1117/12.2686654

10 August 2023 Research on scheduling optimization problem of process industry based on improved gray wolf algorithm

Shuo Lin, Shishi Li, Shunchao Zhang

Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 127591S (2023) https://doi.org/10.1117/12.2686654
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China

Abstract

This paper studies the scheduling optimization problem of process shop. The gray wolf algorithm is used to solve the problem. The algorithm has fast convergence speed and simple structure, but it also has the disadvantages of easy to fall into local extremum, slow convergence speed in the later stage and poor population diversity. In order to overcome the above shortcomings, the gray wolf algorithm is improved to match the characteristics of the scheduling optimization problem. The improved method is to add Tent chaotic map, nonlinear convergence factor and Levy flight algorithm to improve the shortcomings of gray wolf algorithm.

Citation Download Citation

Shuo Lin, Shishi Li, and Shunchao Zhang "Research on scheduling optimization problem of process industry based on improved gray wolf algorithm", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 127591S (10 August 2023); https://doi.org/10.1117/12.2686654

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