A New Genetic algorithm for Nonlinear Programmig Problems
Jiafu Tang, Dingwei Wang · 1997
A special Genetic Algorithm with mutation along the weighted gradient direction for nonlinear programming problems is proposed. It uses penalty function to construct fitness function for evaluating the solution which violated the constraints. The convergency analysis of the method are also given in this paper.