Comparing two metaheuristics for the Joint Replenishment Problem with Quantity Discounts
نویسنده
چکیده
This work presents the definition and solution of an optimization model using techniques based on the Particle Swarm Optimization (PSO) algorithm or the Particle Swarm Optimization and Genetic Algorithms. The model corresponds to the Joint Replenishment Problem in a system operating with quantity discounts. Results are shown in problems, where their size makes it difficult or impossible to establish the optimum solution (through exhaustive search), besides presenting comparisons with the results from Genetic Algorithms.
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