Via the neighborhoods and elements, we define the scalarization functions for locally convex cones and discuss their properties. We consider the scalar optimization problems and obtain some results ...

In this work, we present a robust optimization method that is suited for unconstrained problems with a nonconvex cost function as well as for problems based on simulations, such as large partial ...

Analytics software leader FICO today announced the release of a true global mathematical optimization solver as part of FICO® Xpress 9.2 Optimization.

Problem Modeling: the first step involves modeling the combinatorial optimization problem by clearly defining the objective function, constraints, and candidate elements.

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...