Adaptive ACOR to solve the Loney’s solenoid electromagnetic problem

Abstract

This paper studies and proposes a new set of ACOR (Ant Colony optimization for Real domains) algorithms dedicated to electromagnetic problems. The adaptive ACOR adjust their parameters during the iterative process in order to control how the exploration and exploitation are involved and performed in the global optimum search. The strategy is to smoothly alternate between exploration and exploitation, with the first one predominant in the initial stages of the algorithms and the second towards the end. Though the proposed algorithms can be applied to any kind of optimization problem they are tuned and their efficiency is proven on an electromagnetic benchmark problem, namely Loney’s solenoid.