A fuzzy system for dynamic parameter adaptation in gravitational search algorithm
Frumen Olivas, Fevrier Valdez, Oscar Castillo · 2016
An improved methodology for parameter adaptation in GSA (Gravitational Search Algorithm) is presented in where we use a fuzzy system to control the abilities of GSA to perform a global and local search. The results show that with our methodology GSA can outperform the quality of the results when compared with the original method and some other GSA improvements.