Firefly algorithm using cluster information for superior solution set search
Hongran Wang, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda · 2017
We analyzed the search characteristics of Firefly Algorithm (FA), which has a fundamental nature of a Superior Solution Set Search Problem, previously defined in our previous study for single-objective optimization problems. In this study, we proposed a new FA method based on the former problem. This method, which employs cluster information by K-means clustering, is tested for performance by fundamental numerical experiments.