【摘要】 现实世界的网络比如:物流网络、通信网络、交通网络,电网等可以被抽象成一个随机流量网络。以传输成功率和整个传输所花费的成本为目标,对随机流量网络上流量的分配控制的多目标优化问题进行了研究。采用MPs的概念对问题建模,大大简化了模型的复杂程度。最后提出一个多目标遗传算法,通过实例验证,该算法较好地解决了随机流量网络上的流量分配控制问题。更多还原

【Abstract】 Many real-life networks such as logistics and communication network and so on can be regard as a stochastic-flow network.A multi-objectives optimization problem in a stochastic-flow network is studied in this paper.The objectives are the probability of transmission is successful and the cost that transmission costs.The authors build a model using the conception of MPs,so greatly reduce the complexity of model.A multi-objectives genetic algorithm for computing the optimal flow allocation policy is proposed.Tested by an example,this algorithm commendably solves the problem of flow control and allocation in a stochastic-flow network.更多还原