Cost optimization of an M/M/r queueing system with queue-dependent servers: Genetic algorithm
We consider an M/M/r queueing system with infinite capacity,in which the number of working servers changes depending on the queue length. The steady-state probability distributions and the expected number of customers in the system are derived,which are used to construct a cost function. In order to minimize the expected cost of the system,we use the genetic algorithm to find the best thresholds of queue length in activating servers and their corresponding service rate. Some illustrative examples are provided to demonstrate how the process of this algorithm works for the optimal management policy of the multi-server queueing system.
Cost Genetic algorithm Multiple heterogeneous servers Rouche’s theorem
Jyh-Bin Ke Jau-Chuan Ke Chuen-Horng Lin
Department of Applied Mathematics,National Chung-Hsing University,Taichung,402,Taiwan Department of Applied Statistics,National Taichung Institute of Technology,Taichung 404,Taiwan. Department of Computer Science and,National Taichung Institute of Technology,Taichung 404,Taiwan
国际会议
北京
英文
101-105
2010-07-24(万方平台首次上网日期,不代表论文的发表时间)