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- W2352202379 abstract "The production efficiency and cost is highly related with the facility layout of manufacturing system.The genetic algorithm is well-known for its global optimal solution searching ability,while the simulated annealing algorithm is sophisticated in local optimal solution searching.By combing these two algorithms,a hybrid intelligent optimization algorithm,called GASA is constructed to solve the quadratic assignment model for machine layout design,assuming the minimizing of transportation costs as the objective function.The genetic coding technique for machine layout problem and key operators such as crossover operator,mutation operator etc.are carefully introduced.The algorithm is implemented using C# and techniques such as the generation of distance matrix etc.are analyzed.The example of 12 machines layout problem shows the anti-prematurity and the convergence acceleration effects of the GASA,demonstrating the fact that GASA is an effective method for machine layout problem." @default.
- W2352202379 created "2016-06-24" @default.
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- W2352202379 date "2010-01-01" @default.
- W2352202379 modified "2023-09-27" @default.
- W2352202379 title "Optimal Design for Equipment Layout of Workshop Based on Hybrid Genetic Algorithms" @default.
- W2352202379 hasPublicationYear "2010" @default.
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