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• W2315693599 abstract "A multi-objective (smallest workshop area, optimal logistics and non-logistics costs) mathematical model is built for the system layout design. Based on this model, an improved genetic annealing algorithm is proposed. According to the constraints, initial population and adaptive parameters are introduced to dynamically adjust crossover and mutation probability, which can effectively prevent premature convergence and the destruction of best chromosome. Finally, the comparative analysis shows the improved land use efficiency as well as production efficiency after applying the results to layout design." @default.
• W2315693599 created "2016-06-24" @default.
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• W2315693599 date "2012-03-15" @default.
• W2315693599 modified "2023-09-27" @default.
• W2315693599 title "Research on Production Plant Layout Optimization Based on Improved Genetic Annealing Algorithm" @default.
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• W2315693599 doi "https://doi.org/10.4156/ijact.vol4.issue5.40" @default.
• W2315693599 hasPublicationYear "2012" @default.
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