New Evolutionary Algorithm for Solving Nonlinear System of Equations
Liu Chun-an · Journal of Information and Computational Science · 2013
In this paper, by utilizing the defined maximum entropy function, the nonlinear system of equations is transformed into a smooth minimum optimal problem. In order to effectively solve the nonlinear system of equations, a new fitness function based on the smooth function technique is given, and a new evolutionary algorithm to solve complex nonlinear system of equations was proposed. Computer simulations demonstrate the proposed algorithm can not only increase the diversity of evolutionary population but also make the evolutionary population to approach the optimal solution or the nearoptimum solution of the nonlinear system of equations quickly, i.e., the proposed algorithm is effective in solving nonlinear system of equations.