Improved crossover strategy of genetic algorithms and analysis of its performance
Bian Runqiang, Chen Zengqiang, Yuan Zhuzhi · 2002
In this paper, the premature convergence problem of genetic algorithms is analyzed from a point of view of the crossover efficiency, and a new crossover strategy is proposed to make the crossover more efficient. The strategy is effective in preventing incest and overcoming the premature convergence.