Novel single-objective optimization problem and Firefly Algorithm-based optimization method
Ryuta Oosumi, Kenichi Tamura, Keiichiro Yasuda · 2016
This paper proposes a new formulation for single-objective optimization problems and a Firefly Algorithm (FA)-based optimization method for problem formulation. The formulated problem requires a set of solutions with approximately the same evaluation values and appropriate differences in relation to decision variables. In addition, the FA-based optimization method was developed based on an analysis of the FA search mechanism. Finally, the performance of the developed method is verified.