| Issue |
ITM Web Conf.
Volume 77, 2025
2025 International Conference on Education, Management and Information Technology (EMIT 2025)
|
|
|---|---|---|
| Article Number | 01016 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/itmconf/20257701016 | |
| Published online | 02 July 2025 | |
Genetic algorithm solving the scheduling problem of large-scale power grid material quality inspection bases under multiple constraints
State Grid Electric Power Research Institute Wuhan Nanrui Co., Ltd., 430074, Wuhan
* Corresponding author: 15827628272@163.com
A mathematical programming model is constructed for the scheduling problem of large-scale power grid material quality inspection bases under complex and multi constraint conditions, with the completion time of material inspection, equipment utilization rate of the base, and total equipment load as multi-objective performance indicators. Based on the characteristics of the problem, a genetic algorithm is proposed as a tool for solving, and the encoding and decoding in the algorithm are specially designed for the detection base to ensure the generation of feasible solutions; Introducing roulette wheel to select populations, combining the characteristics of the problem to randomly mutate chromosomes, and using POX for chromosome crossover, in order to obtain the optimal solution to the problem. The proposed method effectively solves the scheduling problem of the testing base and greatly improves its operational efficiency by using the current quality testing example of dry-type transformers in the base for verification.
Key words: Genetic algorithm / Power grid materials / Quality inspection / Scheduling
© The Authors, published by EDP Sciences, 2025
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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