Differential evolution is simple and efficient. However,when solving the large-scale optimization problems,the performance decreases rapidly. To overcome this problem,this paper proposed a hybridization differential evolution algorithm of orthogonal crossover and opposition-based learning. In the hybrid algorithm,it used orthogonal crossover to enhance the exploitation ability and adopted opposition-based learning to adjust the diversity of population. Thus it could balance the local and global search abili...
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