An Evolutionary Algorithm Using Multi-Strategy Combination for Single Objective Optimization Problem

摘要

In this paper, an evolutionary algorithm using multi-strategy combination is proposed to solve single objective optimization problem. The algorithm is based on the combination of multi-operator evolutionary algorithms, which uses three evolutionary algorithms, each with multiple search operators, to search global optimum. In order to propose a more efficient search algorithm, interior point method is used to optimize the evolutionary process. The proposed algorithm was tested on the CEC-2014 benchmark, whose experimental results were presented to discuss the features of the proposed algorithm, which showed that the proposed algorithm had efficient iteration and ability to reach good solutions for most problems.