The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Combinatorial Optimization Algorithms Publication Trend The graph below shows the total number of publications each year in Combinatorial Optimization Algorithms.

A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.

The Quantum Information Recursive Optimization (QIRO) algorithm is an optimization algorithm based on quantum computers, designed to tackle complex combinatorial optimization problems.

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 ...

We develop a novel framework, the implicit hitting set approach, for solving a class of combinatorial optimization problems. The explicit hitting set problem is as follows: given a set U and a family ...

Research Interests My areas of research are compilers, combinatorial optimization algorithms and parallel algorithms. More specifically, my research focuses on developing exact or precise algorithms ...

Wayne S. Desarbo, Douglas Grisaffe, Combinatorial Optimization Approaches to Constrained Market Segmentation: An Application to Industrial Market Segmentation ...