This paper proposes a novel modified Particle Swarm Optimization (PSO) algorithm to optimize the process planning problem. To improve the performance of the approach, efficient encoding, updating, and random search methods have been developed. To verify the feasibility and effectiveness of the proposed approach, seven cases have been conducted. The proposed algorithm has also been compared with the genetic algorithm and simulated annealing algorithm. The results show that the proposed modified PSO algorithm can generate satisfactory solutions and outperform other algorithms.
CITATION STYLE
Li, X., & Gao, L. (2020). An Efficient Modified Particle Swarm Optimization Algorithm for Process Planning. In Engineering Applications of Computational Methods (Vol. 2, pp. 81–106). Springer. https://doi.org/10.1007/978-3-662-55305-3_5
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