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 ...

Determining optimal locations for MFCs is a complex optimization problem requiring geospatial analytics, integer programming, and reinforcement learning techniques. A well-optimized network: ...

ExxonMobil and IBM's researchers have been working together to find quantum algorithms that could manage the global fleet of merchant ships.

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 ...

Finding the optimal routing paths for the vehicles is in and of itself a highly complex mathematical problem in the field of combinatorial optimization.

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 ...

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.