沈阳工业大学学报2002，Vol.24Issue(3)：211-214,4.
遗传算法在多资源优化调度问题中的应用
Genetic algorithms for optimizing of multiple resource scheduling problem
摘要
Abstract
Multiple Resource Constrained Project Scheduling Problem (MRCPSP) has been research. The objective is to determine the starting time for the activities of a project satisfying precedence and resource constraints in order to level resource usage. Nonlinear integer programming model has been established, genetic algorithm for solving leveling multi-types resource usage problem in MRCPSP is presented. Numerical examples show that genetic algorithms perform well for MRCPSP.关键词
遗传算法/非线性规划/资源均衡使用Key words
genetic algorithms/level resource usage/nonlinear integer programming分类
信息技术与安全科学引用本文复制引用
张颖,汪定伟,王福利..遗传算法在多资源优化调度问题中的应用[J].沈阳工业大学学报,2002,24(3):211-214,4.基金项目
国家博士后基金资助项目(20003128) （20003128）
辽宁省教育厅基金资助项目(20142204,22142205,2001102027) （20142204,22142205,2001102027）
