Butterfly optimizer

Abstract

A new optimization algorithm, Butterfly Optimizer (BO) is discussed in this paper. BO simulates the mate-locating behavior of male butterflies. In BO, position of male butterflies represents the collection of trial solutions and two main mate-locating behavior, perching and patrolling are employed to update the position of male butterflies (trial solutions) to optimize the problem. This optimizer generally performs a search space exploration by patrolling behavior of male butterflies and search space exploitation by perching behavior of male butterflies. In this paper, live benchmark unconstrained optimization problem are solved by Butterfly Optimizer, Particle Swarm Optimization (PSO), Differential Evolution (DE) and Artificial Bee Colony (ABC) and comparative performance of BO in terms of optimization capability, efficiency and accuracy is studied. Experimental results show that BO is capable of solving global optimization problems efficiently with high accuracy. © 2015 IEEE.