Abstract: We examine various aspects of modeling and solution via mixed-integer nonlinear programming (MINLP). MINLP has much to offer as a powerful modeling paradigm. Recently, significant advances ...

D. Li and X. Sun, “Nonlinear Integer Programming,” Springer, New York, 2006. has been cited by the following article: TITLE: An Exact Penalty Approach for Mixed Integer Nonlinear Programming Problems.

Mixed-Integer Nonlinear Programming (MINLP): An optimisation framework that integrates discrete variables with continuous nonlinear functions to model complex decision-making problems.

Furthermore, the extension of intersection cuts from linear to nonlinear integer programming has enabled more refined convexification strategies for structured sets, paving the way for robust ...

Q. L. Wu and N. R. Xie, “A New Method for Solving a Class of Nonlinear Integer Programming Problems,” Control and Decision, Vol. 12, No. 2, 1997, pp. 97-108. has been cited by the following article: ...

Linear and nonlinear programming are two types of optimization methods that can help you find the best solution to a problem involving decision variables, constraints, and an objective function ...