[go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Particle Swarms Cooperative Optimization for Coalition Generation Problem

  • Conference paper
Simulated Evolution and Learning (SEAL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4247))

Included in the following conference series:

  • 1501 Accesses

Abstract

In this paper, a Particle Swarms Cooperative Optimization is proposed to solve Coalition Generation Problem in parallel manner with each Agent taking part in several different coalitions and each coalition turning its hand to several different tasks. With a novel two-dimensional binary encoding approach, the algorithm performs well on coalition parallel generation. An adaptive disturbance factor is adopted to force swarms getting out of local optimums quickly. Introduced an active-feedback based on island models, the algorithm has a good cooperative searching characteristic. The effectiveness of the proposed algorithm is proved by experiments.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Shehory, O., Kraus, S.: Task allocation via coalition formation among autonomous agents. In: Proceedings of the Fourteenth International Joint Conf. on artificial Intelligence, Montreal, Canada, Morgan Kaufman, pp. 655–661. Morgan Kaufmann, San Francisco (1995)

    Google Scholar 

  2. Sen, S., Dutta, P.: Searching for optimal coalition structures. In: Proceedings of the 4th ICMAS, Boston, MA, pp. 287–292. IEEE Press, Los Alamitos (2000)

    Google Scholar 

  3. Na, X., Jianguo, J., Yalin, H.: Solution to agent coalition problem using improved ant colony optimization algorithm. In: Intelligent Agent Technology, Beijing, pp. 475–478 (2004)

    Google Scholar 

  4. Zhenghu, L.: Research on key issues of mobile Agent system. PhD Thesis, department of Computer and Information Science, Hefei University of Technology, China, pp. 81–98 (2002)

    Google Scholar 

  5. Kennedy, J., Eberhart, R.: A discrete binary version of the particle swarm optimization algorithm. In: Proceedings of Conf. On Systems, Man, and Cybernetics, Piscataway, pp. 4104–4109 (1997)

    Google Scholar 

  6. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of Conference on Neural Networks, pp. 1942–1948 (1995)

    Google Scholar 

  7. Eberhart, R., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of the 6th International Symposium on Micro Machine and Human Science, pp. 39–43 (1995)

    Google Scholar 

  8. Yuhui, S., Eberhart, R.: Parameter selection in particle swarm optimization. In: Proceedings of the 7th Annual Conf. on Evolutionary Programming, pp. 591–600 (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer and Information, Hefei University of Technology, Hefei, 230009, PR China

    Guofu Zhang, Jianguo Jiang, Na Xia & Zhaopin Su

Authors
  1. Guofu Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jianguo Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Na Xia
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhaopin Su
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering and Management, Cheng Shiu University, Kaohsiung County Taiwan, ROC

    Tzai-Der Wang

  2. School of Computer Science and information Technology, RMIT University, VIC 3001, Melbourne, Australia

    Xiaodong Li

  3. AI-ECON Research Center, Department of Economics, National Chengchi University, 11623, Taipei, Taiwan

    Shu-Heng Chen

  4. Department of Computer Science and Technology, University of Sci. & Tech. of China, 230026, Hefei, Anhui, P.R. China

    Xufa Wang

  5. School of Information Technology and Electrical Engineering, University of New South Wales, Australian Defence Force Academy, Canberra, Australia

    Hussein Abbass

  6. The Univertity of Tokyo, Japan

    Hitoshi Iba

  7. Department of Computer, University of Science and Technology of China, 230027, Hefei, China

    Guo-Liang Chen

  8. University of Birmingham, Birmingham, UK

    Xin Yao

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, G., Jiang, J., Xia, N., Su, Z. (2006). Particle Swarms Cooperative Optimization for Coalition Generation Problem. In: Wang, TD., et al. Simulated Evolution and Learning. SEAL 2006. Lecture Notes in Computer Science, vol 4247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11903697_22

Download citation

  • DOI: https://doi.org/10.1007/11903697_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47331-2

  • Online ISBN: 978-3-540-47332-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation