A multi-agent scheduling model for maximizing agent satisfaction

Eugene Levner; Amir Elalouf; Huajun Tang

doi:10.1007/978-3-642-35455-7_9

A multi-agent scheduling model for maximizing agent satisfaction

Eugene Levner, Amir Elalouf, Huajun Tang

Department of Management

Bar-Ilan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a multi-agent scheduling model for selecting ecology-conservation activities in a large-scale ecological system. The overall goal is to maximize the total satisfaction of the multiple agents (stakeholders). The problem is motivated by the needs for sustainable development for the Dead Sea Basin in the Middle East. A new FPTAS algorithm for solving the scheduling problem is developed.

Original language	English
Title of host publication	Multi-Disciplinary Trends in Artificial Intelligence - 6th International Workshop, MIWAI 2012, Proceedings
Pages	90-100
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-35455-7_9
State	Published - 1 Dec 2012
Event	6th Multi-Disciplinary International Workshop on Artificial Intelligence, MIWAI 2012 - Ho Chi Minh City, Viet Nam Duration: 26 Dec 2012 → 28 Dec 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7694 LNAI

Conference

Conference	6th Multi-Disciplinary International Workshop on Artificial Intelligence, MIWAI 2012
Country/Territory	Viet Nam
City	Ho Chi Minh City
Period	26/12/12 → 28/12/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

FPTAS
agent-based scheduling
water resources
water users

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-35455-7_9

Cite this

Levner, E., Elalouf, A., & Tang, H. (2012). A multi-agent scheduling model for maximizing agent satisfaction. In Multi-Disciplinary Trends in Artificial Intelligence - 6th International Workshop, MIWAI 2012, Proceedings (pp. 90-100). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7694 LNAI). https://doi.org/10.1007/978-3-642-35455-7_9

Levner, Eugene ; Elalouf, Amir ; Tang, Huajun. / A multi-agent scheduling model for maximizing agent satisfaction. Multi-Disciplinary Trends in Artificial Intelligence - 6th International Workshop, MIWAI 2012, Proceedings. 2012. pp. 90-100 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A multi-agent scheduling model for maximizing agent satisfaction",

abstract = "This paper presents a multi-agent scheduling model for selecting ecology-conservation activities in a large-scale ecological system. The overall goal is to maximize the total satisfaction of the multiple agents (stakeholders). The problem is motivated by the needs for sustainable development for the Dead Sea Basin in the Middle East. A new FPTAS algorithm for solving the scheduling problem is developed.",

keywords = "FPTAS, agent-based scheduling, water resources, water users",

author = "Eugene Levner and Amir Elalouf and Huajun Tang",

year = "2012",

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doi = "10.1007/978-3-642-35455-7\_9",

language = "الإنجليزيّة",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Multi-Disciplinary Trends in Artificial Intelligence - 6th International Workshop, MIWAI 2012, Proceedings",

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Levner, E, Elalouf, A & Tang, H 2012, A multi-agent scheduling model for maximizing agent satisfaction. in Multi-Disciplinary Trends in Artificial Intelligence - 6th International Workshop, MIWAI 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7694 LNAI, pp. 90-100, 6th Multi-Disciplinary International Workshop on Artificial Intelligence, MIWAI 2012, Ho Chi Minh City, Viet Nam, 26/12/12. https://doi.org/10.1007/978-3-642-35455-7_9

A multi-agent scheduling model for maximizing agent satisfaction. / Levner, Eugene; Elalouf, Amir; Tang, Huajun.
Multi-Disciplinary Trends in Artificial Intelligence - 6th International Workshop, MIWAI 2012, Proceedings. 2012. p. 90-100 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7694 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A multi-agent scheduling model for maximizing agent satisfaction

AU - Levner, Eugene

AU - Elalouf, Amir

AU - Tang, Huajun

PY - 2012/12/1

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N2 - This paper presents a multi-agent scheduling model for selecting ecology-conservation activities in a large-scale ecological system. The overall goal is to maximize the total satisfaction of the multiple agents (stakeholders). The problem is motivated by the needs for sustainable development for the Dead Sea Basin in the Middle East. A new FPTAS algorithm for solving the scheduling problem is developed.

AB - This paper presents a multi-agent scheduling model for selecting ecology-conservation activities in a large-scale ecological system. The overall goal is to maximize the total satisfaction of the multiple agents (stakeholders). The problem is motivated by the needs for sustainable development for the Dead Sea Basin in the Middle East. A new FPTAS algorithm for solving the scheduling problem is developed.

KW - FPTAS

KW - agent-based scheduling

KW - water resources

KW - water users

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DO - 10.1007/978-3-642-35455-7_9

M3 - منشور من مؤتمر

SN - 9783642354540

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 100

BT - Multi-Disciplinary Trends in Artificial Intelligence - 6th International Workshop, MIWAI 2012, Proceedings

T2 - 6th Multi-Disciplinary International Workshop on Artificial Intelligence, MIWAI 2012

Y2 - 26 December 2012 through 28 December 2012

ER -

Levner E, Elalouf A, Tang H. A multi-agent scheduling model for maximizing agent satisfaction. In Multi-Disciplinary Trends in Artificial Intelligence - 6th International Workshop, MIWAI 2012, Proceedings. 2012. p. 90-100. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-35455-7_9

A multi-agent scheduling model for maximizing agent satisfaction

Abstract

Publication series

Conference

UN SDGs

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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