%0 Journal Article %A LIU Chun-an %T Maximum entropy multi-objective evolutionary algorithm for nonlinear constrained programming %D 2007 %R %J Computer Engineering and Applications %P 40-42 %V 43 %N 21 %X The difficult to solve the Nonlinear Constraint Programming problems(NCPs) is how to do with the constraint.In this paper,a new maximum entropy function based on the constraint conditions of NCPs is given.Then using the new maximum entropy function,the nonlinear constrained programming problems is transformed into a bi-objective optimization problem.By combining the reasonable design of the searching operation and different parameters,a new maximum entropy evolutionary algorithm is finally proposed.The computer simulations demonstrate the effectiveness of the proposed algorithm. %U http://cea.ceaj.org/EN/abstract/article_22839.shtml