activity
20132021
most citedEfficient QUBO transformation for Higher Degree Pseudo Boolean Functions

2 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

math.OC2021★ 2 cited

Efficient QUBO transformation for Higher Degree Pseudo Boolean Functions

Amit Verma, Mark Lewis, Gary Kochenberger

Quadratic Unconstrained Binary Optimization (QUBO) is recognized as a unifying framework for modeling a wide range of problems. Problems can be solved with commercial solvers custo…

cs.DM2020

A Self-Organizing Extreme-Point Tabu-Search Algorithm for Fixed Charge Network Problems with Extensions

Richard S. Barr, Fred Glover, Toby Huskinson +1

We propose a new self-organizing algorithm for fixed-charge network flow problems based on ghost image (GI) processes as proposed in Glover (1994) and adapted to fixed-charge trans…

cs.DM2019

Quantum Bridge Analytics II: Network Optimization and Combinatorial Chaining for Asset Exchange

Fred Glover, Gary Kochenberger, Moses Ma +1

Quantum Bridge Analytics relates to methods and systems for hybrid classical-quantum computing, and is devoted to developing tools for bridging classical and quantum computing to g…

cs.AI2017

Robust Optimization of Unconstrained Binary Quadratic Problems

Mark Lewis, Gary Kochenberger, John Metcalfe

In this paper we focus on the unconstrained binary quadratic optimization model, maximize x^t Qx, x binary, and consider the problem of identifying optimal solutions that are robus…

cs.AI2017

Logical and Inequality Implications for Reducing the Size and Complexity of Quadratic Unconstrained Binary Optimization Problems

Fred Glover, Mark Lewis, Gary Kochenberger

The quadratic unconstrained binary optimization (QUBO) problem arises in diverse optimization applications ranging from Ising spin problems to classical problems in graph theory an…

cs.AI2017

Diversification Methods for Zero-One Optimization

Fred Glover

We introduce new diversification methods for zero-one optimization that significantly extend strategies previously introduced in the setting of metaheuristic search. Our methods in…