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Quadratic unconstrained binary optimization (QUBO), also known as unconstrained binary quadratic programming (UBQP), is a combinatorial optimization problem with a wide range of applications from finance and economics to machine learning.
Nov 13, 2018 · The Quadratic Unconstrained Binary Optimization (QUBO) model has gained prominence in recent years with the discovery that it unifies a rich variety of combinatorial optimization problems.
- Fred Glover, Gary Kochenberger, Yu Du
- 2018
This book covers the quadratic unconstrained binary optimization (QUBO) model, a versatile combinatorial optimization model with various applications and theoretical properties. It presents a systematic development of QUBO from different perspectives, including complexity, algorithms, software, and examples.
The Quadratic Unconstrained Binary Optimization (QUBO) model has gained prominence in recent years with the discovery that it unifies a rich variety of combinatorial optimization problems.
- 696KB
- 53
Apr 9, 2022 · QUBO is a unconstrained quadratic optimization problem with binary variables. This chapter reviews the history, definitions, representations, examples and formulations of QUBO and related problems.
- apunnen@sfu.ca
May 27, 2017 · Learn how to reduce the size of the QUBO matrix by identifying variables whose value at optimality can be predetermined. The paper presents rules, verification, and experimental analysis of the QUBO problem preprocessing technique for combinatorial optimization problems.
Jan 21, 2021 · Quadratic Unconstrained Binary Optimization (QUBO) is a broad class of optimization problems with many practical applications. To solve its hard instances in an exact way, known classical algo-rithms require exponential time and several approximate methods have been devised to reduce such cost.
