An enhanced gravitational search algorithm for global optimisation
Zhaolu Guo, Haixia Huang, Huogen Yang, Shenwen Wang, Hui Wang · International Journal of Wireless and Mobile Computing · 2015
Numerous problems in science and engineering can be converted into optimisation problems. Gravitational Search Algorithm (GSA) is a newly developed optimisation algorithm inspired by Newton's law of gravity and law of motion. However, the traditional GSA tends to suffer from trapping in local minima when solving complex problems. This paper proposes an enhanced gravitational search algorithm (GOGSA), which utilises the generalised opposition-based learning to enhance the search ability. Experiments are conducted on 13 classical test functions. The experimental results and analysis demonstrate that GOGSA can obtain better performance on the majority of the test functions.