A new evolutionary algorithm for function optimization
Guo Tao, Kang Li-shan · Wuhan University Journal of Natural Sciences · 1999
A new algorithm based on genetic algorithm(GA) is developed for solving function optimization problems with inequality constraints. This algorithm has been used to a series of standard test problems and exhibited good performance. The computation results show that its generality, precision, robustness, simplicity and performance are all satisfactory.