Optimization of Workshop Layout Based on Adaptive Genetic Algorithm

DOI

10.2991/978-94-6463-447-1_36How to use a DOI?

Keywords

workshop layout; Adaptive genetic algorithm; multiple target

Abstract

In this paper, the problem of workshop layout optimization based on adaptive genetic algorithm is studied, and a multi-objective mathematical optimization model considering both the total handling cost and the adjacent correlation degree is established. Based on the traditional algorithm, an adaptive genetic algorithm is proposed. According to the fitness of the population, its crossover probability and mutation probability will automatically change to avoid the algorithm falling into local optimum. Finally, taking a production workshop as an example, the traditional genetic algorithm and adaptive genetic algorithm are compared respectively, and it is found that the adaptive genetic algorithm is obviously superior to the traditional genetic algorithm, which proves the feasibility and effectiveness of this method in workshop layout optimization.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Qingdi Feng
AU  - Yijun Tang
PY  - 2024
DA  - 2024/07/14
TI  - Optimization of Workshop Layout Based on Adaptive Genetic Algorithm
BT  - Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
PB  - Atlantis Press
SP  - 329
EP  - 337
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-447-1_36
DO  - 10.2991/978-94-6463-447-1_36
ID  - Feng2024
ER  -