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

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 ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

Advanced AI-based techniques scale-up solving complex combinatorial optimization problems Date: June 10, 2024 Source: University of California - San Diego Summary: A framework based on advanced AI ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität ...

The Ant Colony Optimization (ACO) algorithm is a metaheuristic nature-inspired technique for solving various combinatorial optimization problems. The shortest-path problem is an important ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue ...

Baker's research focuses on power systems, smart grid, renewable energy, building-to-grid optimization, and applications of machine learning in energy. Her ...