Firefly Algorithm Based on Improved Evolutionism
Qian Fu · 2014
Analyzing the evolutionary computation mechanism of the Firefly algorithm,a new evolutionary computation model for Firefly algorithm was proposed to solve the evolutionary premature stagnation problem.At the beginning,the fireflies achieve evolution by following the best firefly in global area,and when the mutual system is established among the fireflies for exchanging the information,each firefly is attracted by the brighter glow of other neighboring fireflies. When the population is in local optimization area,Gaussian mutation is used to improve firefly's diversity.The experiment results of 5classic benchmark functions indicate the feasibility and validity of the improved Firefly algorithm.