SCO algorithm based on entropy function for NCP
Xiaopeng Cao · Computer Engineering and Applications Journal · 2010
Social Cognitive Optimization algorithm(SCO) based on entropy function for solving Nonlinear Complementarity Problem(NCP) is presented.Firstly NCP is transformed into nonlinear equations,and then an entropy function method is used to transform the solving nonlinear equations into a smooth function of unstrained optimization problems.Finally,SCO algorithm is introduced to solve the NCP.The imitate results manifest that SCO converges fast and stably,and it is an effective algorithm for NCP.