Title :
A Multi-objective Gravitational Search Algorithm
Author :
Hassanzadeh, Hamid Reza ; Rouhani, Modjtaba
Author_Institution :
Dept. of Comput. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran
Abstract :
Recently there has been a great research conducted on diverse variations of multi-objective swarm optimization algorithms each of which might have its own strengths and weaknesses. Due to the high complexity of multi-objective problems the efficiency of these methods has become a matter of concern. In this paper a new multi-objective meta-heuristic algorithm based on gravitational forces is proposed and applied to different test benches. The acquired results proved the superiority of the algorithm comparing with other pioneering techniques such as the MOPSO.
Keywords :
gravitation; particle swarm optimisation; search problems; gravitational force; multi-objective metaheuristic algorithm; multi-objective problem complexity; multiobjective gravitational search algorithm; multiobjective swarm optimization algorithm; Indirect Niching; Multi-objective Gravitational Search Algorithm (MOGSA); Multi-objective Particle Swarm Optimization (MOPSO); Pareto Optimality;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2010 Second International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4244-7837-8
Electronic_ISBN :
978-0-7695-4158-7
DOI :
10.1109/CICSyN.2010.32
