MINLP algorithms mixed with constraint programming

Abstract

This paper advanced mixed integer nonlinear programming (MINLP) algorithms mixed with constraint programming (CP) to solve industrial process hybrid model mixed with logical rule. CP methods have proved to be successful in solving highly constrained discrete optimization and feasibility problems. It can effectively solve hybrid model mixed with logical rule by integrating CP, nonlinear programming and mixed integer linear programming. Computational results demonstrated this algorithm.