A new genetic algorithm for nonlinear programming problems
Jiafu Tang, Dingwei Wang · 2002
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 violates the constraints. The convergence analysis of the method are also given in this paper.