Open AccessDistinctive Computational Approaches for Solution of Energy Optimization of Particles
Author(s) -
Naseem Akhter,
Laraib Asghar,
Sobia Arbab,
Farwa Batool
Publication year - 2021
Publication title -
journal of nanoscope
Language(s) - English
Resource type - Journals
ISSN - 2707-711X
DOI - 10.52700/jn.v2i2.37
Subject(s) - particle swarm optimization , multi swarm optimization , metaheuristic , mathematical optimization , meta optimization , computer science , derivative free optimization , quantum , optimization problem , genetic algorithm , energy (signal processing) , swarm behaviour , algorithm , mathematics , physics , statistics , quantum mechanics
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.