An optimization framework for modeling and simulation of dynamic systems based on AIS

Abstract

Modeling and simulation can be used in many contexts for gaining insights into the functioning, performance, and operation, of complex systems. However, this method alone often produces feasible solutions under certain operating conditions of a system in which such solutions may not be optimal. This is inevitably inadequate in circumstances where optimality is required. In this respect, an approach to effectively evaluate and optimize system performance is to couple the simulation model with operations research techniques. In this paper, an optimization framework consisting of a simulation model and an immunity-inspired algorithm is proposed for optimizing the key parameters in the domain of automatic material handling.