QPSO with avoidance behaviour to solve electromagnetic optimization problems
Anton Duca, Laurentiu Duca, Gabriela Ciuprina · International Journal of Applied Electromagnetics and Mechanics · 2018
The paper proposes a new set of improved Quantum-behaved Particle Swarm Optimization (QPSO) algorithms by using the avoidance from the worst behaviour. The avoidance behaviour, which consist in introducing personal/local or global worst terms, are applied to the attractor’s formula. The enhanced QPSO algorithms are targeted towards benchmark electromagnetic optimization problems, and their efficiency is tested and tuned on Loney’s solenoid.