Distinctive Computational Approaches for Solution of Energy Optimization of Particles

Abstract

The “Thomson problem’ is used to determine the minimum energy configuration of electrons on the sphere’ s surface. We turned this difficulty into an optimization problem, which we addressed with the help of intelligent computational techniques like Particle Swarm Optimization (PSO) and Quantum Particle Swarm Optimization (QPSO). To enhance the system’s global searching ability, a Quantum behaved Particle Swarm Optimization algorithm is designed. The Thomson’s problem is investigated and appraised, and has fewer parameters to govern, according to simulation data. In this work QPSO is extremely effective and successful at delivering near- optimal results, as we compared the results with Genetic Algorithm and PSO.