计算机科学
调度(生产过程)
数学优化
资源限制
地铁列车时刻表
启发式
遗传算法
遗传算法调度
动态优先级调度
运筹学
两级调度
分布式计算
工程类
人工智能
数学
机器学习
操作系统
出处
期刊:Computer Integrated Manufacturing Systems
[Elsevier]
日期:2011-01-01
被引量:1
摘要
Most multi-project scheduling reseraches proposed in the literature so far are based on an assumption that resources are transferred from one project to the other without any expense of time or cost,but this assumption doesn't in accordance with the practical situation.To reduce the gap between theoretical studies and reality,a multi-project scheduling model with considering transfer time was proposed.The model was targeted at the weighted and shortest duration of the multi-project and each project,meanwhile,both transfer time constraint and transfer number constraint of resource were simultaneously considered.An improved genetic algorithm based on three-stage heuristic rules decoding was proposed.Through the practical examples and comparison to other algorithms,the effectiveness of the algorithm was verified.
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