Gravitational Search Algorithm with a New Technique

Abstract

Gravitational search algorithm (GSA) has been invented by Newton Gravitational Law to solve complex global optimization problem. Many improved GSA has been proposed by many researches to improve its performance. In this paper, a new updating mechanism has been proposed to prevent premature convergence and stagnation in evolution. The core idea of particle swarm optimization (PSO) is introduced into GSA to overcome these issues. Some nonlinear benchmark functions are chosen to verify the effectiveness of new algorithm. The numerical experimental results show that the new algorithm is robustness.