A search algorithm for global optimisation

Chen, S., Wang, X.X. and Harris, C.J. (2005) A search algorithm for global optimisation. Wang, L., Chen, K. and Ong, Y.S. (eds.) 1st International Conference on Natural Computation, Changsha, China. 27 - 29 Aug 2005. pp. 1122-1130 .

Record type: Conference or Workshop Item (Other)

Abstract

This paper investigates a global search optimisation technique, referred to as the repeated weighted boosting search. The proposed optimisation algorithm is extremely simple and easy to implement. Heuristic explanation is given for the global search capability of this technique. Comparison is made with the two better known and widely used global search techniques, known as the genetic algorithm and adaptive simulated annealing. The effectiveness of the proposed algorithm as a global optimiser is investigated through several examples.

Text

36111122.pdf - Other

Download (712kB)

More information

Published date: 2005

Additional Information: Published as LNCS 3611 Event Dates: August 27-29, 2005

Venue - Dates: 1st International Conference on Natural Computation, Changsha, China, 2005-08-27 - 2005-08-29

Organisations: Southampton Wireless Group

Learn more about Southampton Wireless Group research Learn more about Next Generation Wireless research

Identifiers

Local EPrints ID: 261193

URI: http://eprints.soton.ac.uk/id/eprint/261193

PURE UUID: e50c7a6f-c7d1-4965-99cf-2436f328a303

Catalogue record

Date deposited: 06 Sep 2005

Last modified: 14 Mar 2024 06:49

Export record

Share this record

Share this on Facebook Share this on Twitter Share this on Weibo

Contributors

Author: S. Chen

Author: X.X. Wang

Author: C.J. Harris

Editor: L. Wang

Editor: K. Chen

Editor: Y.S. Ong

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information