Mixed-Integer Nonlinear Programming Optimization Publication Trend The graph below shows the total number of publications each year in Mixed-Integer Nonlinear Programming Optimization.

Gas Network Optimization and Nonlinear Programming Publication Trend The graph below shows the total number of publications each year in Gas Network Optimization and Nonlinear Programming.

Marc Teboulle, Entropic Proximal Mappings with Applications to Nonlinear Programming, Mathematics of Operations Research, Vol. 17, No. 3 (Aug., 1992), pp. 670-690 ...

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 have been ...

Second, the conversion to a single-objective optimization problem involves additional constraints. Third, since most real-world goal programming problems involve nonlinear criterion functions, the ...

We formulate this problem as a nonlinear Generalized Disjunctive Program (GDP), which, following transformation, results in a large-scale mixed-integer nonlinear programming (MINLP) problem. This ...

The model is formulated as a nonlinear integer programming problem. By reformulating it as a mixed-integer nonlinear programming (MINLP) problem and using an associated convex relaxation model for ...