摘要
描述了动态联盟中的伙伴选择问题 ,针对以活动网络形式组织的项目 ,建立伙伴选择的多目标优化模型 ,实现项目失败风险最小化和项目费用与拖期惩罚总额最小化 ,并利用带自适应移动线技术的遗传算法 ,求得问题的整个非劣解集合或近似集合。
The problem of partner selection in virtual enterprise is described and a multiobjective optimization model is proposed based on the project that is organised by activity network. The objective is to minimize project failure risk and project cost together with tardy penalty by selecting the optimal combination of partner enterprises for all sub projects. By using a genetic algorithm with self adaptive shift line technique, the whole set of Pareto or near Pareto solutions is found. Simulation results show that this model has potential to practical applications.
出处
《控制与决策》
EI
CSCD
北大核心
2002年第3期274-277,共4页
Control and Decision
基金
国家自然科学基金项目 (6 96 84 0 0 5 )
86 3计划 CIMS主题项目 (86 3- 5 11- 984 4 - 0 11)
关键词
GA
动态联盟
伙伴选择
多目标优化模型
multiobjective optimization
partner selection
risk analysis
genetic algorithm
virtual enterprise
