A search algorithm for global optimisation


Chen, S., Wang, X.X. and Harris, C.J. (2005) A search algorithm for global optimisation. At 1st International Conference on Natural Computation, Changsha, China, 27 - 29 Aug 2005. Springer-Verlag, 1122-1130.

Download

[img] PDF
Download (695Kb)

Description/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.

Item Type: Conference or Workshop Item (Speech)
Additional Information: Published as LNCS 3611 Event Dates: August 27-29, 2005
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 261193
Date Deposited: 06 Sep 2005
Last Modified: 27 Mar 2014 20:04
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/261193

Actions (login required)

View Item View Item

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