APPLYING GENETIC ALGORITHMS TO QUEUING NETWORK DESIGN
Mouin Hourani, Mufit Ozden, Pedrito Maynard-Zhang · 2007
This study evaluates the efficacy of using the continuous genetic algorithm (GA) to solve complex queuing network problems. Queuing network design involves random processes and decisions that are subject to a cost constraint. Therefore, we run a simulation program to determine the fitness of each solution in the population. The GA produces good results compared to alternative methods, without the need for restrictive assumptions.