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 ...

Researchers at UCLA and UC Riverside have demonstrated a new approach that overcomes these hurdles to solve some of the most difficult optimization problems. The team designed a system that processes ...

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 ...

Network-level optimization is the most critical aspect of the world’s shared energy future. It gives utilities a holistic view of the energy landscape at any given moment, in real time.

The goal of our study is to investigate how these two channels of risk interact to propagate individual defaults to a systemwide catastrophe. We formulate a constrained optimization problem that ...

Another critical phase for Ashland is identifying and accelerating productivity for the plant network, to drive savings above the network optimization target of $60 million.

Choosing a vendor can be the most challenging part of a WAN optimization project, given the wide range of vendors, features and technology options available today. Enterprises in the market for ...