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Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem./
作者:	Fitzek, David.
面頁冊數:	1 online resource (85 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-03, Section: A.
Contained By:	Dissertations Abstracts International84-03A.
標題:	Computational physics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29290634click for full text (PQDT)
ISBN:	9798845464064

Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem.
Fitzek, David.

Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem. - 1 online resource (85 pages)

Source: Dissertations Abstracts International, Volume: 84-03, Section: A.

Thesis (Licentiate)--Chalmers Tekniska Hogskola (Sweden), 2022.

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798845464064Subjects--Topical Terms:

3343998
Computational physics.
Index Terms--Genre/Form:

542853
Electronic books.

Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem.
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