Multi-objective Genetic Algorithm for Real-World Mobile Robot Scheduling Problem

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)
Original languageEnglish
Title of host publicationAdvances in Production Management Systems, Competitive Manufacturing for Innovative Products and Services (APMS 2012) : IFIP WG 5.7 International Conference, APMS 2012, Rhodes, Greece, September 24-26, 2012, Revised Selected Papers, Part II
EditorsChristos Emmanouilidis, Marco Taisch, Dimitris Kiritsis
Volume397
Place of PublicationSpringer Berlin Hedelberg
PublisherSpringer VS
Publication date2013
EditionPart II
Pages518-525
ISBN (Print)978-3-642-40351-4
ISBN (Electronic)978-3-642-40352-1
DOIs
Publication statusPublished - 2013
EventInternational Conference on Advances in Production Management Systems (APMS) - Rhodes, Greece
Duration: 24 Sep 201226 Sep 2012

Conference

ConferenceInternational Conference on Advances in Production Management Systems (APMS)
CountryGreece
CityRhodes
Period24/09/201226/09/2012
SeriesIFIP AICT - Advances in Information and Communication technology
Volume397
ISSN1868-4238

Cite this

Dang, V. Q., Nielsen, I. E., & Steger-Jensen, K. (2013). Multi-objective Genetic Algorithm for Real-World Mobile Robot Scheduling Problem. In C. Emmanouilidis, M. Taisch, & D. Kiritsis (Eds.), Advances in Production Management Systems, Competitive Manufacturing for Innovative Products and Services (APMS 2012): IFIP WG 5.7 International Conference, APMS 2012, Rhodes, Greece, September 24-26, 2012, Revised Selected Papers, Part II (Part II ed., Vol. 397, pp. 518-525). Springer Berlin Hedelberg: Springer VS. IFIP AICT - Advances in Information and Communication technology, Vol.. 397 https://doi.org/10.1007/978-3-642-40352-1_65
Dang, Vinh Quang ; Nielsen, Izabela Ewa ; Steger-Jensen, Kenn. / Multi-objective Genetic Algorithm for Real-World Mobile Robot Scheduling Problem. Advances in Production Management Systems, Competitive Manufacturing for Innovative Products and Services (APMS 2012): IFIP WG 5.7 International Conference, APMS 2012, Rhodes, Greece, September 24-26, 2012, Revised Selected Papers, Part II. editor / Christos Emmanouilidis ; Marco Taisch ; Dimitris Kiritsis. Vol. 397 Part II. ed. Springer Berlin Hedelberg : Springer VS, 2013. pp. 518-525 (IFIP AICT - Advances in Information and Communication technology, Vol. 397).
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title = "Multi-objective Genetic Algorithm for Real-World Mobile Robot Scheduling Problem",
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language = "English",
isbn = "978-3-642-40351-4",
volume = "397",
series = "IFIP AICT - Advances in Information and Communication technology",
publisher = "Springer VS",
pages = "518--525",
editor = "Christos Emmanouilidis and Marco Taisch and Dimitris Kiritsis",
booktitle = "Advances in Production Management Systems, Competitive Manufacturing for Innovative Products and Services (APMS 2012)",
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}

Dang, VQ, Nielsen, IE & Steger-Jensen, K 2013, Multi-objective Genetic Algorithm for Real-World Mobile Robot Scheduling Problem. in C Emmanouilidis, M Taisch & D Kiritsis (eds), Advances in Production Management Systems, Competitive Manufacturing for Innovative Products and Services (APMS 2012): IFIP WG 5.7 International Conference, APMS 2012, Rhodes, Greece, September 24-26, 2012, Revised Selected Papers, Part II. Part II edn, vol. 397, Springer VS, Springer Berlin Hedelberg, IFIP AICT - Advances in Information and Communication technology, vol. 397, pp. 518-525, International Conference on Advances in Production Management Systems (APMS), Rhodes, Greece, 24/09/2012. https://doi.org/10.1007/978-3-642-40352-1_65

Multi-objective Genetic Algorithm for Real-World Mobile Robot Scheduling Problem. / Dang, Vinh Quang; Nielsen, Izabela Ewa; Steger-Jensen, Kenn.

Advances in Production Management Systems, Competitive Manufacturing for Innovative Products and Services (APMS 2012): IFIP WG 5.7 International Conference, APMS 2012, Rhodes, Greece, September 24-26, 2012, Revised Selected Papers, Part II. ed. / Christos Emmanouilidis; Marco Taisch; Dimitris Kiritsis. Vol. 397 Part II. ed. Springer Berlin Hedelberg : Springer VS, 2013. p. 518-525 (IFIP AICT - Advances in Information and Communication technology, Vol. 397).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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KW - Multi-objective, Scheduling, Mobile Robot, Genetic Algorithm

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DO - 10.1007/978-3-642-40352-1_65

M3 - Article in proceeding

SN - 978-3-642-40351-4

VL - 397

T3 - IFIP AICT - Advances in Information and Communication technology

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BT - Advances in Production Management Systems, Competitive Manufacturing for Innovative Products and Services (APMS 2012)

A2 - Emmanouilidis, Christos

A2 - Taisch, Marco

A2 - Kiritsis, Dimitris

PB - Springer VS

CY - Springer Berlin Hedelberg

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Dang VQ, Nielsen IE, Steger-Jensen K. Multi-objective Genetic Algorithm for Real-World Mobile Robot Scheduling Problem. In Emmanouilidis C, Taisch M, Kiritsis D, editors, Advances in Production Management Systems, Competitive Manufacturing for Innovative Products and Services (APMS 2012): IFIP WG 5.7 International Conference, APMS 2012, Rhodes, Greece, September 24-26, 2012, Revised Selected Papers, Part II. Part II ed. Vol. 397. Springer Berlin Hedelberg: Springer VS. 2013. p. 518-525. (IFIP AICT - Advances in Information and Communication technology, Vol. 397). https://doi.org/10.1007/978-3-642-40352-1_65