2016-12-30

Abstract

In the paper a novel hybrid genetic differential evolution algorithm utilized to solve constrained optimization problems. The suggested algorithm is called hybrid genetic differential evolution algorithm for solving constrained optimization problems. The objective of the suggested algorithm has to mend the global search aptitude of DE algorithm by merging genetic linear crossover with a DE algorithm to discover more solutions in search space and to revoke tricking in local minima. To validate the general performance of the differential evolution algorithm, it compared with 4 evolutionary based algorithms on 8 benchmark functions. The experimental results show that optimal algorithm

Keywords- optimization , Genetic algorithms, mutation, generation