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Project scheduling using a competitive genetic algorithm

机译:使用竞争性遗传算法的项目调度

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The resource constrained project scheduling problem (RCPSP) is a difficult problem in combinatorial optimization for which extensive investigation has been devoted to the development of efficient algorithms. During the last couple of years many heuristic procedures have been developed for this problem, but still these procedures often fail in finding near-optimal solutions. This paper proposes a genetic algorithm for the resource constrained project scheduling problem. The chromosome representation of the problem is based on random keys. The schedule is constructed using a heuristic priority rule in which the priorities and delay times of the activities are defined by the genetic algorithm. The approach was tested on a set of standard problems taken from the literature and compared with other approaches. The computational results validate the effectiveness of the proposed algorithm.
机译:资源受限的项目调度问题(RCPSP)是组合优化中的难题,其中广泛的调查已经致力于高效算法的发展。在过去几年中,许多启发式程序已经为这个问题开发,但这些程序仍然在找到近最佳解决方案方面失败。本文提出了一种资源受限项目调度问题的遗传算法。问题的染色体表示是基于随机键。计划使用启发式优先级规则构建,其中活动的优先级和延迟时间由遗传算法定义。该方法在文献中采取的一套标准问题进行了测试,与其他方法相比。计算结果验证了所提出的算法的有效性。

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