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为了进一步提高差分演化算法的性能,提出一种采用保存基因的2-Opt一般反向差分演化算法,并把它应用于函数优化问题中.新算法具有以下特征:(1)采用保存被选择个体基因的方式组成参加演化的新个体.保存基因的方法可以很好的保持种群多样性;(2)采用一般反向学习(GOBL)机制进行初始化,提高了初始化效率;(3)采用2-Opt算法加速差分演化算法的收敛速度,提高搜索效率.通过测试函数的实验,并与其他差分演化算法进行比较.实验结果证实了新算法的高效性,通用性和稳健性.
In order to further improve the performance of the differential evolution algorithm, a 2-Opt general inverse differential evolution algorithm using conserved genes is proposed and applied to the function optimization problem.The new algorithm has the following features: (1) (2) Using GOBL to initialize and improve the initialization efficiency; (3) Using 2-Opt The algorithm accelerates the convergence rate of the differential evolution algorithm and improves the search efficiency.Through the experiment of the test function and comparison with other differential evolution algorithms, the experimental results verify the high efficiency, generality and robustness of the new algorithm.