Petri net-based QUBO Model Formulation for Multi-Resource Flow-Shop Scheduling Problems
This paper introduces a Petri net-based approach to addressing multi-resource flow-shop scheduling problems within multi-objective quantum optimization. The multi-resource flow-shop problem, which holds both theoretical and practical significance, represents a real-world application scenario. The pr...
Saved in:
| Published in: | International Symposium on Computing and Networking Workshops (Online) pp. 409 - 411 |
|---|---|
| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
26.11.2024
|
| Subjects: | |
| ISSN: | 2832-1324 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | This paper introduces a Petri net-based approach to addressing multi-resource flow-shop scheduling problems within multi-objective quantum optimization. The multi-resource flow-shop problem, which holds both theoretical and practical significance, represents a real-world application scenario. The practical nature of the problem necessitates incorporating multiple objective functions, which adds complexity to its formulation, particularly in representing the energy function within the QUBO (Quadratic Unconstrained Binary Optimization) model. Our approach mitigates the complexity of formulating the QUBO model by employing Petri net theory, providing a more efficient solution for these inherently complex problems. The paper further demonstrates the effectiveness of this method through computational examples utilizing a CPU-based QUBO optimization platform. |
|---|---|
| AbstractList | This paper introduces a Petri net-based approach to addressing multi-resource flow-shop scheduling problems within multi-objective quantum optimization. The multi-resource flow-shop problem, which holds both theoretical and practical significance, represents a real-world application scenario. The practical nature of the problem necessitates incorporating multiple objective functions, which adds complexity to its formulation, particularly in representing the energy function within the QUBO (Quadratic Unconstrained Binary Optimization) model. Our approach mitigates the complexity of formulating the QUBO model by employing Petri net theory, providing a more efficient solution for these inherently complex problems. The paper further demonstrates the effectiveness of this method through computational examples utilizing a CPU-based QUBO optimization platform. |
| Author | Nakachi, Takayuki Uechi, Ryota Nakamura, Morikazu Shiroma, Tadashi |
| Author_xml | – sequence: 1 givenname: Ryota surname: Uechi fullname: Uechi, Ryota email: e215752@ie.u-ryukyu.ac.jp organization: University of the Ryukyus,Computer Sciences and Intelligent Systems, Faculty of Eng.,Okinawa,Japan – sequence: 2 givenname: Morikazu surname: Nakamura fullname: Nakamura, Morikazu email: morikazu@ie.u-ryukyu.ac.jp organization: University of the Ryukyus,Computer Sciences and Intelligent Systems, Faculty of Eng.,Okinawa,Japan – sequence: 3 givenname: Tadashi surname: Shiroma fullname: Shiroma, Tadashi email: shiroma@ie.u-ryukyu.ac.jp organization: University of the Ryukyus,Computer Sciences and Intelligent Systems, Faculty of Eng.,Okinawa,Japan – sequence: 4 givenname: Takayuki surname: Nakachi fullname: Nakachi, Takayuki email: takayuki.nakachi@ieee.org organization: University of the Ryukyus,Information Technology Center,Okinawa,Japan |
| BookMark | eNotj8tOwkAYhUejiYi8gYnzAq1zvywRRU1AECQsydD-I2NKh0zbGN_eJro5Z_PlfDnX6KKONSB0R0lOKbH3k_Hb43i1VUJqljPCRE4IMeQMjay2hnMqieTCnqMBM5xllDNxhUZN89VjnBFBlBig7RLaFHANbbZ3DZT4ffOwwPNYQoWnMR27yrUh1tjHhOdd1YZsBU3sUgF4WsXvbH2IJ7wuDlB2Vag_8TLFfQXH5gZdelc1MPrvIdpMnz4mL9ls8fw6Gc-yQLXqnUS60lMFEkojHEhHgRGQpWeaWl0w7o13qtDM2_4L8EIbtdeqT8FJIfgQ3f7tBgDYnVI4uvSzo8RQbSznv0viVVA |
| CODEN | IEEPAD |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/CANDARW64572.2024.00080 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Xplore POP ALL IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 9798331505349 |
| EISSN | 2832-1324 |
| EndPage | 411 |
| ExternalDocumentID | 10817893 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IF 6IL 6IN AAWTH ABLEC ADZIZ ALMA_UNASSIGNED_HOLDINGS BEFXN BFFAM BGNUA BKEBE BPEOZ CBEJK CHZPO IEGSK OCL RIE RIL |
| ID | FETCH-LOGICAL-i176t-b05adf16e5ed84ae5a1e20e5df27197c23f8fa6c72f9349e3c786b76786430c43 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001440518400072&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| IngestDate | Wed Jan 08 06:10:43 EST 2025 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i176t-b05adf16e5ed84ae5a1e20e5df27197c23f8fa6c72f9349e3c786b76786430c43 |
| PageCount | 3 |
| ParticipantIDs | ieee_primary_10817893 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-Nov.-26 |
| PublicationDateYYYYMMDD | 2024-11-26 |
| PublicationDate_xml | – month: 11 year: 2024 text: 2024-Nov.-26 day: 26 |
| PublicationDecade | 2020 |
| PublicationTitle | International Symposium on Computing and Networking Workshops (Online) |
| PublicationTitleAbbrev | CANDARW |
| PublicationYear | 2024 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| SSID | ssj0003204064 |
| Score | 1.8903158 |
| Snippet | This paper introduces a Petri net-based approach to addressing multi-resource flow-shop scheduling problems within multi-objective quantum optimization. The... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 409 |
| SubjectTerms | Complexity theory Computational efficiency Computational modeling Conferences Job shop scheduling Linear programming multi-resource flow shop scheduling Optimization Optimization models petri net Petri nets Processor scheduling qubo model |
| Title | Petri net-based QUBO Model Formulation for Multi-Resource Flow-Shop Scheduling Problems |
| URI | https://ieeexplore.ieee.org/document/10817893 |
| WOSCitedRecordID | wos001440518400072&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NTwIxEG2EePCkRoyKmh68Vrf70dkeEd14QhQJ3Eg_lYTsEj7079uWBb148Nb00mba5r1M581D6EYrqxXVgvA8sySlIiOSU0kklRoUFRDxjdkE9Hr5eMz7tVg9aGGMMaH4zNz6YfjL15Va-1SZe-E5BQewDdQAYBux1i6hksTuPrK0ruGiEb_rdnoPndcRSzPwkqvY98kO_R9_-agEGCkO_7mBI9T6EeTh_g5qjtGeKU_QKLhh4dKsiMcijV-G98_Ym5vNcOGoaG3MhR0txUFnS7a5elzMqi8y-KjmeOAOTftq9He_gPeWWbbQsHh86z6R2ieBTCkwt0aUCW0pM5nReSpMJqiJI5NpGwPloOLE5lYwBbHlScpNoiBnEhxMOToSqTQ5Rc2yKs0ZwgKEUsBVbpUjJlLyVDgKI5VjAi6kmp-jlo_KZL5phTHZBuTij_k2OvCB9-K9mF2i5mqxNldoX32upsvFdTjAb8PnnP8 |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV09T8MwELWgIMEEiCK-8cBqiB0njsdSiIooodBW7Vb5EypVTdUP-PvYaVpYGNgsL47uHL2n8717AFxrZbXCWiCeRBZRLCIkOZZIYqmZwoIFfGk2wbIs6fd5qxSrF1oYY0zRfGZu_LJ4y9e5WvhSmfvDE8wcwG6CrYhSEizlWuuSSkjcjYxp2cWFA35br2X3tbdeTCPmRVfET8ouJkD-clIpgCTd--cn7IPqjyQPttZgcwA2zPgQ9Ao_LDg2c-TRSMPX7t0L9PZmI5g6Mlpac0FHTGGhtEWraj1MR_kXan_kE9h2adO-H_3dH-DdZWZV0E0fOvUGKp0S0BCz2J0RREJbHJvI6IQKEwlsSGAibQnDnCkS2sSKWDFieUi5CRVLYskcUDlCEigaHoHKOB-bYwAFE0oxrhKrHDWRklPhSIxUjgu4kGp-Aqo-KoPJchjGYBWQ0z_2r8BOo_PcHDQfs6czsOuT4KV8JD4Hlfl0YS7AtvqcD2fTyyKZ3x9XoEY |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=International+Symposium+on+Computing+and+Networking+Workshops+%28Online%29&rft.atitle=Petri+net-based+QUBO+Model+Formulation+for+Multi-Resource+Flow-Shop+Scheduling+Problems&rft.au=Uechi%2C+Ryota&rft.au=Nakamura%2C+Morikazu&rft.au=Shiroma%2C+Tadashi&rft.au=Nakachi%2C+Takayuki&rft.date=2024-11-26&rft.pub=IEEE&rft.eissn=2832-1324&rft.spage=409&rft.epage=411&rft_id=info:doi/10.1109%2FCANDARW64572.2024.00080&rft.externalDocID=10817893 |