An Improved Spider Monkey Optimization Algorithm

Abstract

Spider Monkey Optimization is the newest member of the Swarm Intelligence-based algorithm, which is motivated by the extraordinary behavior of Spider Monkeys. The SMO algorithm is a population-based stochastic metaheuristic. The SMO algorithm is well balanced for good exploration and exploitation most of the times. This paper introduces an improved strategy to update the position of solution in Local Leader Phase. The proposed algorithm named as Improved Spider Monkey Optimization (ISMO) algorithm. This method is developed to improve the rate of convergence. The ISMO algorithm tested over the benchmark problems and its superiority established with the help of statistical results.