Optimization of Collaborative Systems Operation using Genetic Algorithm

Abstract

In this paper, we discuss the application of Genetic Algorithm (GA) to the collaborative systems operation optimization. Collaborative systems are server client systems in which a group of collaborators come together to provide service to end-users. The cost function to be optimized is the sum of the service cost and waiting cost. Service cost is due to the hiring of professionals that provide service to customers in the collaborative system. Waiting cost is incurred when customers who are made to wait in long queues do not come to receive service from the system a second time. The number of servers operating at each of the collaborative places, as well as the service time, acts as system constraints. GA finds the minimum value of the cost function under these operational constraints.