郭涛算法及其应用

Guo's Algorithm and Its Application

对郭涛在文献 [1]中所提出的一种求解约束函数优化问题的演化计算新算法进行了理论分析与实例验证。

Recently Tao Guo proposed a new evolutionary algorithm in his phD thesis[1] for solving function optimization problems with constraints. He combined the sub space search method with the population hill climbing method. The theoretical abgorithm analysis demonstrating its theoretical results through the use of numerical experiments is presented.