全域下的普通遗传算法 SGA
但在试验中发现普通遗传算法存在收敛速度较慢且容易陷入局部最优解等问题。
However, drawbacks of slow convergent speed and sometimes just getting local optimum solution are found by tests when common GA technology is applied.
本文在对遗传算法进行了仔细分析研究后，针对普通遗传算法变异算子邻域搜索能力较弱的问题进行了改进。
GA is analyzed and studied deeply in the paper. The ability of neighborhood searching of GA with general mutation operator is weak, and an improved mutation operator is presented in the paper.
应用推荐