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Co-evolutionary algorithm solving multi-skill resource-constrained project scheduling problem

机译:协同进化算法解决多技能资源受限项目调度问题

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This paper presents methods solving MS-RCPSP as a main task-resource-time assignment optimization problem. In the paper there are presented four variants of Evolutionary Algorithm applied to MS-RCPSP problem: concerning prioritization the tasks (or resources), combined task-resources prioritizing approach and co-evolution based approach that effectively solves problem dividing it to two subproblems. All approaches are examined using benchmark MS-RCPSP iMOPSE dataset and results show that the problem decomposition is effective. All experiments are described, statistically verified and summarized. Conclusions and promising areas of future work are presented.
机译:本文提出了解决MS-RCPSP作为主要任务-资源-时间分配优化问题的方法。在本文中,提出了适用于MS-RCPSP问题的演化算法的四个变体:关于任务(或资源)的优先级,组合任务资源优先级的方法和基于协同进化的方法,这些方法有效地解决了将问题分为两个子问题的问题。使用基准MS-RCPSP iMOPSE数据集检查了所有方法,结果表明问题分解是有效的。描述,统计验证和总结了所有实验。提出了结论和未来工作的有希望的领域。

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