E3S Web Conf.
Volume 268, 20212020 6th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2020)
|Number of page(s)||9|
|Published online||11 June 2021|
Application of dynamic firework algorithm considering variable neighborhood strategy in flexible job shop scheduling problem
Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, China
* Corresponding author: firstname.lastname@example.org
Aiming at the flexible job shop scheduling problem, this paper constructs a dual-objective mathematical model to minimize the maximum completion time and the minimum total processing cost. The traditional firework algorithm introduces a variable neighborhood search strategy, which is generated during the explosion of the algorithm. On the basis of explosive spark and Gaussian spark, the algorithm is further avoided from falling into the dilemma of local optimization. The product of completion time and processing cost is used as the fitness value of the plan, so that the firework algorithm is suitable for solving the two objective scheduling problems in this paper, and the ratio of fitness value and congestion is used as a comprehensive index for the selection of the optimal plan . In this paper, the selected 5×6 calculation examples are solved, and the completion time of the optimal scheduling scheme is reduced by 12.9%, and the total production cost is reduced by 17.67%, which verifies the feasibility and efficiency of the method.
Key words: variable neighborhood search / firework algorithm / fitness / congestion
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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