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

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 ...

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 ...

Samy Wu Fung, Department of Applied Mathematics and Statistics, Colorado School of Mines Efficient Training of Infinite-depth Neural Networks via Jacobian-free Backpropagation A promising trend in ...

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 ...

Ashland Inc. ASH has provided an update on its $60 million plan to optimize its manufacturing network, a key part of its execute strategy. To improve operational efficiency, profitability and the ...