LGMS-FOA: An Improved Fruit Fly Optimization Algorithm for Solving Optimization Problems

Abstract EN

Recently, a new fruit fly optimization algorithm (FOA) is proposed tosolve optimization problems.

In this paper, we empirically study the performanceof FOA.

Six different nonlinear functions are selected as testingfunctions.

The experimental results illustrate that FOA cannot solve complexoptimization problems effectively.

In order to enhance the performance ofFOA, an improved FOA (named LGMS-FOA) is proposed.

Simulation resultsand comparisons of LGMS-FOA with FOA and other metaheuristics showthat LGMS-FOA can greatly enhance the searching efficiency and greatlyimprove the searching quality.