Title
Controlling arrival and service of a two-removable-server system using genetic algorithm
Abstract
This paper considers the optimal management problem of an M/M/2/K queueing system with controlling arrivals and services, in which the servers operate a tridic policy. By applying Markov process, some important performance measures are derived. A cost model is developed to determine the optimal threshold values and the optimal service rate at a minimum cost. Some illustrative examples are provided. The genetic algorithm is employed to search for the joint optimal values of control arrival and service parameters for the system.
Year
DOI
Venue
2011
10.1016/j.eswa.2011.02.011
Expert Syst. Appl.
Keywords
Field
DocType
k queueing system,two-removable-server system,controlling arrival,genetic algorithm,optimal management problem,arrival epoch,cost model,joint optimal value,service completion,minimum cost,server startup,optimal threshold value,f -policy,control,markov process,service parameter,system size,control arrival,controllable queueing system,optimal service rate
Data mining,Mathematical optimization,Markov process,Server system,Computer science,Server,Real-time computing,Optimal management,Queueing system,Markovian arrival process,Genetic algorithm
Journal
Volume
Issue
ISSN
38
8
Expert Systems With Applications
Citations 
PageRank 
References 
1
0.38
4
Authors
3
Name
Order
Citations
PageRank
Hsin-I. Huang1435.05
Pi-Chun Hsu210.38
Jau-Chuan Ke334844.17