A new approach to solve the flexible job shop problem based on a hybrid particle swarm optimization and Random-Restart Hill Climbing

Edilson Reis Rodrigues Kato,Gabriel Diego de Aguiar Aranha,Roberto Hideaki Tsunaki

Computers & Industrial Engineering（2018）

引用 49|浏览6

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摘要

•A new approach PSO + RRHC applied to Flexible Job Shop Problem is proposed.•The stochastic initialization of initial PSO population finds better results.•The PSO + RRHC algorithm can explore others solutions on scheduling space.•The PSO + RRHC algorithm can be executed few times to find good results.•PSO + RRHC present good potential to be applied to more complex industrial scenarios.

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关键词

Flexible job-shop scheduling problem,Particle swarm optimization,Random Restart Hill Climbing,Tabu search,Simulated annealing

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