We introduce a new technique to generate good feasible points of mixedinteger nonlinear optimization problems which are granular in the sense that a certain inner parallel set of their continuously relaxed feasible set is consistent. The latter inner parallel set was employed in O. Stein, Error bounds for mixed integer linear optimization problems, Mathematical Programming, Vol. 156 (2016), 101...

Process Synthesis seeks to develop systematically process flowsheets that convert raw materials into desired products. In recent years, the optimization approach to process synthesis has shown promise in tackling this challenge. It requires the development of a network of interconnected units, the process superstructure, that represents the alternative process flowsheets. The mathematical model...

This paper describes a new method for the evaluation of non-utility generation impacts on preventive-corrective control of power systems. The proposed method relies on a mixed integer nonlinear optimization and is capable of recognizing the effectiveness of demand side preventive-corrective actions. A number of cases are presented to illustrate the consequences of introducing demand side action...

This paper considers the Tchebychev distance for a facility location problem with a probabilistic line barrier in the plane. In particular, we develop a mixed-integer nonlinear programming (MINLP) model for this problem that minimizes the total Tchebychev distance between a new facility and the existing facilities. A numerical example is solved to show the validity of the developed model. Becau...

This paper describes a new method for the evaluation of non-utility generation impacts on preventive-corrective control of power systems. The proposed method relies on a mixed integer nonlinear optimization and is capable of recognizing the effectiveness of demand side preventive-corrective actions. A number of cases are presented to illustrate the consequences of introducing demand side action...