As an important optimization problem, it is difficult to choose the initial point in the traditional algorithm. In this paper, the damped least square algorithm is introduced to improve the genetic algorithm. The results show that the improved genetic algorithm does not depend on the selection of initial points, and can improve the convergence efficiency and reduce the number of iterations.
马俊, 王秀玉.
求解线性互补问题的一种改进的遗传算法
[J]. 吉林化工学院学报, 2019, 36(11): 74-76.
MA Jun, WANG Yuxiu.
An Improved Genetic Algorithm for Linear Complementarity Problems
. Journal of Jilin Institute of Chemical Technology, 2019, 36(11): 74-76.