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Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem./
作者:
Fitzek, David.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:
85 p.
附註:
Source: Dissertations Abstracts International, Volume: 84-03, Section: A.
Contained By:
Dissertations Abstracts International84-03A.
標題:
Transportation. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29290634
ISBN:
9798845464064
Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem.
Fitzek, David.
Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem.
- Ann Arbor : ProQuest Dissertations & Theses, 2022 - 85 p.
Source: Dissertations Abstracts International, Volume: 84-03, Section: A.
Thesis (Licentiate)--Chalmers Tekniska Hogskola (Sweden), 2022.
This item must not be sold to any third party vendors.
Quantum computing offers new heuristics for combinatorial problems. With small- and intermediate-scale quantum devices becoming available, it is possible to implement and test these heuristics on small-size problems. A candidate for such combinatorial problems is the heterogeneous vehicle routing problem (HVRP): the problem of finding the optimal set of routes, given a heterogeneous fleet of vehicles with varying loading capacities, to deliver goods to a given set of customers. This licentiate thesis is an extended introduction to the accompanying paper, which consists of a study of a new formulation of the HVRP applicable to both quantum annealers and programmable noisy intermediate-scale quantum (NISQ) devices.
ISBN: 9798845464064Subjects--Topical Terms:
558117
Transportation.
Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem.
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Quantum computing offers new heuristics for combinatorial problems. With small- and intermediate-scale quantum devices becoming available, it is possible to implement and test these heuristics on small-size problems. A candidate for such combinatorial problems is the heterogeneous vehicle routing problem (HVRP): the problem of finding the optimal set of routes, given a heterogeneous fleet of vehicles with varying loading capacities, to deliver goods to a given set of customers. This licentiate thesis is an extended introduction to the accompanying paper, which consists of a study of a new formulation of the HVRP applicable to both quantum annealers and programmable noisy intermediate-scale quantum (NISQ) devices.
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