This work focuses on expressing the TSP with Time Windows (TSPTW for short) as a quadratic unconstrained binary optimization (QUBO) problem. The time windows impose time constraints that a feasible solution must satisfy. These take the form of inequality constraints, which are known to be particularly difficult to articulate within the QUBO framework. This is, we believe, the first time this major obstacle is overcome and the TSPTW is cast in the QUBO formulation. We have every reason to anticipate that this development will lead to the actual execution of small scale TSPTW instances on the D-Wave platform.
机构:
Univ Iowa, Dept Management Sci, 108 John Pappajohn Business Bldg, Iowa City, IA 52242 USAUniv Iowa, Dept Management Sci, 108 John Pappajohn Business Bldg, Iowa City, IA 52242 USA
Voccia, Stacy A.
Campbell, Ann M.
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Univ Iowa, Dept Management Sci, 108 John Pappajohn Business Bldg, Iowa City, IA 52242 USAUniv Iowa, Dept Management Sci, 108 John Pappajohn Business Bldg, Iowa City, IA 52242 USA
Campbell, Ann M.
Thomas, Barrett W.
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Univ Iowa, Dept Management Sci, 108 John Pappajohn Business Bldg, Iowa City, IA 52242 USAUniv Iowa, Dept Management Sci, 108 John Pappajohn Business Bldg, Iowa City, IA 52242 USA
机构:
City Univ Hong Kong, Dept Management Sci, Kowloon Tong, Hong Kong, Peoples R ChinaSun Yat Sen Univ, Sch Business, Guangzhou 510275, Guangdong, Peoples R China
Qin, Hu
Lim, Andrew
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City Univ Hong Kong, Dept Management Sci, Kowloon Tong, Hong Kong, Peoples R ChinaSun Yat Sen Univ, Sch Business, Guangzhou 510275, Guangdong, Peoples R China
Lim, Andrew
Xu, Dongsheng
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Sun Yat Sen Univ, Sch Business, Guangzhou 510275, Guangdong, Peoples R ChinaSun Yat Sen Univ, Sch Business, Guangzhou 510275, Guangdong, Peoples R China
Xu, Dongsheng
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