Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms.

Applied Mathematics and Computation(2015)

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摘要
•Optimization of the economic lot scheduling problem with shelf life and backordering.•It is allowed to produce each item more than once in every cycle.•Allowing multiple setups leads to improving solutions.•Four metaheuristic methods GA, SA, PSO, and ABC were used to solve the problem.•Metaheuristic methods outperformed other reported procedures in the literature.
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关键词
economic lot scheduling problem,genetic algorithm,simulated annealing,particle swarm optimization,taguchi
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