An Improved Genetic Algorithm Based on Individual Similarity

In order to avoid close breeding, individual similarity was introduced to improve traditional selection operator. Binary selection operator based on both individual concentration and individual similarity was designed to take place of the traditional selection operator. Applying this modified genetic algorithm to multimodal function optimization, the simulation result indicates that the new genetic algorithm has more powerful global searching ability and can converge more quickly than the traditional genetic algorithm.