University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A optimisation algorithm with data analysis and control platform

Yang, S, Kokossis, A and Cecelja, F (2011) A optimisation algorithm with data analysis and control platform In: CAMAN 2011, 2011-05-19 - 2011-05-21, Wuhan, China.

Full text not available from this repository.

Abstract

Current optimisation methods, especially stochastic methods, are short of intermediate data analysis and control. Moreover the intermediate data has rarely been interpreted into the knowledge useful for either optimisation itself or industry productions. In this paper, we proposed a new optimisation method featuring on the capability of intermediate data analysis and control without setting any computational burden on optimisation. The method makes use of the long Markov process whose concept is borrowed from that in the simulated annealing but meanwhile bypasses its inherent sequential nature by using the proposed conceptual pools to populate the generated solutions. Four simple optimisation problems were selected to investigate the validity of the new algorithm. The algorithm was also studied on a complex engineering problem by comparing with the simulated annealing. Results showed that the new algorithm was as robust as the simulated annealing algorithm but can achieve quicker convergence.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Yang, SUNSPECIFIEDUNSPECIFIED
Kokossis, AUNSPECIFIEDUNSPECIFIED
Cecelja, Ff.cecelja@surrey.ac.ukUNSPECIFIED
Date : 2011
Identification Number : 10.1109/CAMAN.2011.5778732
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:11
Last Modified : 17 May 2017 15:02
URI: http://epubs.surrey.ac.uk/id/eprint/834344

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800