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- W2387763807 abstract "Flow shop scheduling problem is a Non-Polynomial complete problem.This paper presents a new self-adaptive genetic algorithm.Improved methods including compounded initial population,filter stratagem for the individual with same fitness value and improved self-adaptive across aberrance probability are adopted to improve the algorithm performance.The simulation results show that the improved algorithm has high performance in terms of the best result,the relative error of the best results and robustness." @default.
- W2387763807 created "2016-06-24" @default.
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- W2387763807 date "2010-01-01" @default.
- W2387763807 modified "2023-09-23" @default.
- W2387763807 title "Flow Job Shop Scheduling Based on Self-adaptive Genetic Algorithm" @default.
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