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A search algorithm for global optimisation

Record type: Conference or Workshop Item (Other)

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.

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Citation

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.) At 1st International Conference on Natural Computation, China. 27 - 29 Aug 2005. , pp. 1122-1130.

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, China, 2005-08-27 - 2005-08-29
Organisations: Southampton Wireless Group

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: 18 Jul 2017 09:04

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Contributors

Author: S. Chen
Author: X.X. Wang
Author: C.J. Harris
Editor: L. Wang
Editor: K. Chen
Editor: Y.S. Ong

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