Optimization Analysis of Controlling Arrivals in the Queueing System with Single Working Vacation Using Particle Swarm Optimization
A cost function in the literature of queueing system with single working vacation was formulated as an optimization problem to find the minimum cost.In the approach used, a direct search method is first used to determine the optimal system capacity K and the optimal threshold F followed by the Quasi-Newton method to search for the optimal service rates at the minimum cost.However, this two stage search method restricts the search space and cannot thoroughly explore the global solution space to obtain the optimal solutions.In overcoming these limitations, this study employs a particle swarm optimization algorithm to ensure a thorough search of the solution space in the pursuit of optimal minimum solutions.Numerical results compared with those of the two stage search method and genetic algorithms support the superior search characteristics of the proposed solution.
Direct search method Quasi-Newton method Particle swarm optimization Genetic algorithms
Cheng-Dar Liou
Department of Business Administration, National Formosa University,64,Wunhua Rd., Huwei, Yunlin County, 63201, Taiwan
国际会议
4th international Conference,ICSI2013(第4届群体智能国际会议)
哈尔滨
英文
176-183
2013-06-12（万方平台首次上网日期，不代表论文的发表时间）