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- W2040627656 abstract "This paper proposes an improved differential evolution (DE) for the permutation flowshop scheduling problem with the total flowtime minimization, an NP-complete problem. To enhance the exploration ability of DE, a hybrid method of simulated annealing and stochastic variable neighborhood search are incorporated. To improve the search diversification of DE, a population restart method based path relinking is applied to replace non-promising solutions. Experimental results on benchmark instances show that the proposed DE algorithm is competitive to other metaheuristics proposed for the PFSP with total flowtime minimization in the literature." @default.
- W2040627656 created "2016-06-24" @default.
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- W2040627656 date "2012-10-01" @default.
- W2040627656 modified "2023-10-16" @default.
- W2040627656 title "An improved differential evolution for permutation flowshop scheduling problem with total flowtime criterion" @default.
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- W2040627656 doi "https://doi.org/10.1109/icssem.2012.6340739" @default.
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