A multi-agent scheduling model for maximizing agent satisfaction

Eugene Levner, Amir Elalouf, Huajun Tang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 languageEnglish
Title of host publicationMulti-Disciplinary Trends in Artificial Intelligence - 6th International Workshop, MIWAI 2012, Proceedings
Pages90-100
Number of pages11
DOIs
StatePublished - 2012
Event6th Multi-Disciplinary International Workshop on Artificial Intelligence, MIWAI 2012 - Ho Chi Minh City, Viet Nam
Duration: 26 Dec 201228 Dec 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7694 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th Multi-Disciplinary International Workshop on Artificial Intelligence, MIWAI 2012
Country/TerritoryViet Nam
CityHo Chi Minh City
Period26/12/1228/12/12

Keywords

  • FPTAS
  • agent-based scheduling
  • water resources
  • water users

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