Goal seeking Quadratic Unconstrained Binary Optimization

Results in Control and Optimization

Mark Lewis¹  Amit Verma² 

[1] Craig School of Business, Missouri Western State University, Saint Joseph, MO, 64507, United States;Corresponding author.;

关键词: Quadratic Unconstrained Binary Optimization;    Pseudo-Boolean optimization;    Goal seeking;    What if;    Goal programming;    Quantum computer;   

DOI  :  

来源: DOAJ

【 摘 要 】

The Quadratic Unconstrained Binary Optimization (QUBO) modeling and solution framework is a requirement for quantum and digital annealers. However optimality for QUBO problems of any practical size is extremely difficult to achieve. In order to incorporate the problem-specific insights, a diverse set of solutions meeting an acceptable target metric or goal is the preference in high level decision making. In this paper, we present two alternatives for goal-seeking QUBO for minimizing the deviation from a given target as well as a range of values around a target. Experimental results illustrate the efficacy of the proposed approach over Constraint Programming for quickly finding a satisficing set of solutions.

【 授权许可】

Unknown