摘要
为优化网络资源配置和物流任务的分工协调,提出一种协同物流网络的任务协调决策模型,并为其设计了病毒进化求解算法.该方法将时间和资源成本因素综合到主个体适应度函数中,通过遗传操作和病毒感染操作获得活动的执行顺序和执行模式,并运用逆向调度方法合理安排各种模式下活动的开始时间.对资源成本和执行时间具有不同要求的两种情况进行了仿真实验.研究结果表明,该模型和算法是可行的,为物流网络的高效协同提供了有效的决策方法.
In order to optimize resource configuration and task allocation in collaborative logistics network, a decision model of task coordination is presented. The virus evolutionary genetic algorithm （VEGA） is constructed. The cost and time information are combined into the host fitness function. The operating order and mode of activities are obtained by host evolution and virus infection, and then start time is coordinated by a converse scheduling method. Experiments in two cases with different demand of cost and time of logistics activities. Show that the model and VEGA are valid to provide an effective decision solution for efficient collaboration of logistics network.
出处
《控制与决策》
EI
CSCD
北大核心
2007年第1期109-112,共4页
Control and Decision
基金
国家自然科学基金项目(70172016)
关键词
协同物流
任务协调
病毒进化算法
决策优化
Collaborative logistics Task coordination VEGA Decision optimization
