Referenced Items are not available for this document.
Based on the review of recent development of evolutionary computation and the principle of free energy minimization of thermodynamics, a new thermodynamics evolutionary algorithm (TDEA) for solving six-hump camel back function optimization problem is proposed. Numerical experiments are conducted to measure the performance of thermodynamics evolutionary algorithm. The results show that thermodynamics evolutionary algorithm is of potential to obtain global optimum or more accurate solutions than other evolutionary methods.
Published in:
Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on
(Volume:2
)
Date of Conference: 24-25 April 2010
- Page(s):
- 381 - 384
- E-ISBN :
- 978-1-4244-6598-9
- Print ISBN:
- 978-0-7695-4011-5
- INSPEC Accession Number:
- 11363321
- Conference Location :
- Wuhan, Hubei
- Digital Object Identifier :
- 10.1109/NSWCTC.2010.223
- Product Type:
- Conference Publications
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