Application of Quantum Approximate Optimization Algorithm to Job Shop Scheduling Problem

Tomasz Pecyna; Krzysztof Kurowski; Rafał Różycki; Grzegorz Waligóra; Jan Węglarz

Scientific Information System of the Poznań University of Technology

PL EN

Main page / Publications / Application of Quantum Approximate Optimization Algorithm to Job Shop Scheduling Problem

Submit a comment

Chapter

Download BibTeX

Title

Application of Quantum Approximate Optimization Algorithm to Job Shop Scheduling Problem

Authors

Tomasz Pecyna (WIiT) ^{[ 1 ][ 2.3 ][ SzD ]}
Krzysztof Kurowski
Rafał Różycki (WIiT) ^{[ 2 ][ 2.3 ][ P ]}
Grzegorz Waligóra (WIiT) ^{[ 2 ][ 2.3 ][ P ]}
Jan Węglarz (WIiT) ^{[ 2 ][ 2.3 ][ P ]}

^{[ 1 ]} Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ 2 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ SzD ]} doctoral school student | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2022

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

Quantum Approximate Optimization Algorithm
scheduling
Job Shop Scheduling Problem

URL

https://pms2022.sciencesconf.org/376096

Book

18th International Workshop on Project Management and Scheduling PMS 2022, 6-7 April 2022, Ghent, Belgium

Presented on

18th International Workshop on Project Management and Scheduling PMS 2022, 6-7.04.2022, Ghent, Belgium

System created by Poznań University of Technology and Poznan Supercomputing and Networking Center

Log in through eKonto to add to SIS