首页> 外文会议>IFAC Conference on Management and Control of Production and Logistics >EFFECTIVENESS COMPARISON BETWEEN A HEURISTIC AND A METAHEURISTIC APPLIED FOR THE SCHEDULING PROBLEM IN AGRO-FOOD PRODUCTION WORKSHOP
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EFFECTIVENESS COMPARISON BETWEEN A HEURISTIC AND A METAHEURISTIC APPLIED FOR THE SCHEDULING PROBLEM IN AGRO-FOOD PRODUCTION WORKSHOP

机译:农业食品生产研讨会调度问题的启发式和成群质艺人启发式和成群质型的有效性比较

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摘要

This paper treats the optimization problem. We interesting in the minimisation of the out-of-date products, the distribution discount and the makespan, in an agro-food production workshop. Two methods are applied to achieve the objective: a heuristic approach based on the 《branch & bound》 method and a metaheuristic approach based on the Genetic Algorithms, GAs. The first approach consists to explore the different cases of realisable scheduling of operations set candidates for scheduling on the same machine, then to identify the best scheduling, while optimizing the costs of the out-of-date products and of the distribution discount and the makespan. The second one consists on generation of a variety of optimal solutions diversified in the solutions search space, and to help the decision maker when it cannot give a particular preference with one of the objective functions, to make the good decision with respect the quoted criteria.
机译:本文对待优化问题。我们在农业食品生产车间中最大限度地减少了最大限度的产品,分配折扣和Makespan。采用两种方法来实现目标:基于“分支”方法的启发式方法和基于遗传算法,气体的遗传算法方法。第一种方法包括探索可实现的操作调度的不同情况,用于在同一台机器上调度的候选者,然后识别最佳调度,同时优化过日期产品的成本和分配折扣和MEPESPAN的成本。第二个是在解决方案搜索空间中多样化的各种最佳解决方案,并帮助决策者在无法与一个客观函数中提供特定的偏好时,以尊重引用标准的良好决定。

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