Skip to main content

Task Assigning and Optimizing of Genetic-Simulated Annealing Based on MAS

  • Conference paper
  • First Online:
Computational Intelligence (ICIC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4114))

Included in the following conference series:

  • 542 Accesses

Abstract

This paper suggests the optimization method of task assigning based on genetic-simulated annealing algorithm focus on the alternative scheme of bidding invitation parameters obtained in the bidding process in MAS. Through reasonable assessing the bidding documents from bid, bidding result determined is obtained, viz. the task assigning scheme. All of the tasks’ assigning optimization is carried out by setting the parameters of genetic-simulated annealing algorithm; the algorithm can search steadily the optimal scheme and overcome the flaws of traditional simulated annealing algorithm such as big undulation and poor astringency. It is found via the analysis of experiment data that the algorithm can improve assignment scheme further rationality and feasibility.

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

Access this chapter

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.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, Y., Li, S., Li, Y. (2006). Task Assigning and Optimizing of Genetic-Simulated Annealing Based on MAS. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence. ICIC 2006. Lecture Notes in Computer Science(), vol 4114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37275-2_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-37275-2_54

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37274-5

  • Online ISBN: 978-3-540-37275-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics