Gaussian artificial bee colony algorithm approach applied to Loney's solenoid benchmark problem

Optimization metaheuristics, such as particle swarm optimization, ant colony and bacterial foraging strategies have become very popular for electromagnetic device design. The Artificial Bee Colony algorithm is another example of bio-inspired swarm intelligence approach which is competitive with other population-based algorithms and has the advantage of using fewer control parameters. In this work, a standard and an improved version of the algorithm are applied to Loney's solenoid problem, showing the suitability for electromagnetic optimization.