A New Random Search Algorithm: Multiple Solution Vector Approach

Abstract

In this paper, multiple solution vector based random search algorithm is presented. The conventional random search method has single solution vector and has difficulties associated with local optima for higher-dimensional numeric problems, this paper introduces multiple solution vector in random search method solving optimization problems. The proposed algorithm is compared with evolutionary algorithm (EA) and particle swarm optimization (PSO) methods using standard test functions and the performance results are presented.