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Evaluation of scatter search and genetic algorithm at resource constrained project scheduling problems

机译:资源受限项目调度问题的分散搜索和遗传算法评估。

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Basic elements of project planning are activity scheduling and resource allocation. In this study, meta-heuristic methods reviewed as an appropriate solution tool for resource-constrained project scheduling problem and the success of two meta-heuristic methods discussed. Resource constrained project scheduling problem which is an NP-hard problem solved with scatter search and genetic algorithm. Both algorithms do not disrupt the feasible search space during population generation. Algorithms compared in terms of resulting time and working principles.
机译:项目计划的基本要素是活动计划和资源分配。在这项研究中,将元启发式方法作为资源受限项目计划问题的适当解决工具进行了综述,并讨论了两种元启发式方法的成功之处。资源受限的项目调度问题,是一个用分散搜索和遗传算法解决的NP难题。两种算法都不会在种群生成过程中干扰可行的搜索空间。根据产生的时间和工作原理对算法进行了比较。

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