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An activity-list-based nested partitions algorithm for resource-constrained project scheduling
DOI:10.1080/00207543.2015.1065353.png)
摘要
En 中文
The resource-constrained project scheduling problem (RCPSP) has received wide attention. In this paper, an activity-list-based nested partitions algorithm (ALNP) is developed for solving the RCPSP and a P-ALNP is proposed to improve ALNP with local adjustment. In the algorithms, to improve the search efficiency, a partial double justification is employed as local search mechanism. The computational experiments on the PSPLIB and analysis on robustness of the algorithms show that ALNP outperforms the traditional serial scheduling scheme for solving the large-scale, complex RCPSPs, and P-ALNP can improve ALNP and obtain better results. P-ALNP is a competitive algorithm for solving the RCPSP.
Keyword:
resource-constrained project scheduling
nested partitions
activity list
serial scheduling scheme
double justification
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期刊
IF:
7.3
论文数:
1.1W
被引数:
3.7W
机构
引用论文
Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation重新审视串行和并行资源受限的项目调度方法: 理论和计算
A hybrid genetic algorithm for the resource-constrained project scheduling problem一种求解资源受限项目调度问题的混合遗传算法

