Assignment problem with preference and an efficient solution method without dissatisfaction

Kengo Saito, Toshiharu Sugawara

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

We formulate an assignment problem-solving framework called singleobject resource allocation with preferential order (SORA/PO) to incorporate values of resources and individual preferences into assignment problems. We then devise methods to find semi-optimal solutions for SORA/PO problems. The assignment, or resource allocation, problem is a fundamental problem-solving framework used in a variety of recent network and distributed applications. However, it is a combinatorial problem and has a high computational cost to find the optimal solution. Furthermore, SORA/PO problems require solutions in which participating agents express no or few dissatisfactions on the basis of the relationship between relative values and the agents’ preference orders. The algorithms described herein can efficiently find a semi-optimal solution that is satisfactory to almost all agents even though its sum of values is close to that of the optimal solution. We experimentally evaluate our methods and the derived solutions by comparing them with tho optimal solutions calculated by CPLEX. We also compare the running times for the solution obtained by these methods.

本文言語English
ホスト出版物のタイトルAgent and Multi-Agent Systems
ホスト出版物のサブタイトルTechnology and Applications - 10th KES International Conference, KES-AMSTA 2016, Proceedings
編集者Gordan Jezic, Lakhmi C. Jain, Yun-Heh Jessica Chen-Burger, Robert J. Howlett, Lakhmi C. Jain, Lakhmi C. Jain
出版社Springer Science and Business Media Deutschland GmbH
ページ33-44
ページ数12
ISBN(印刷版)9783319398822
DOI
出版ステータスPublished - 2016
イベント10th KES International Conference on Agent and Multi-Agent Systems: Technology and Applications, KES-AMSTA 2016 - Puerto de la Cruz, Tenerife, Spain
継続期間: 2016 6 152016 6 17

出版物シリーズ

名前Smart Innovation, Systems and Technologies
58
ISSN(印刷版)2190-3018
ISSN(電子版)2190-3026

Other

Other10th KES International Conference on Agent and Multi-Agent Systems: Technology and Applications, KES-AMSTA 2016
CountrySpain
CityPuerto de la Cruz, Tenerife
Period16/6/1516/6/17

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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