Full Text:   <1846>

CLC number: TP391

On-line Access: 

Received: 2005-04-20

Revision Accepted: 2005-11-21

Crosschecked: 0000-00-00

Cited: 10

Clicked: 3311

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
1. Reference List
Open peer comments

Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.4 P.539~542

10.1631/jzus.2006.A0539


A new optimization algorithm based on chaos


Author(s):  Lu Hui-juan, Zhang Huo-ming, Ma Long-hua

Affiliation(s):  Institute of Computer Applications, China Jiliang University, Hangzhou 310018, China; more

Corresponding email(s):   hjlu8@cjlu.edu.cn, zhmlandi@cjlu.edu.cn

Key Words:  Chaos optimization algorithm (COA), Carrier wave two times, Multi-variables optimization, Carrier wave triple frequency


Lu Hui-juan, Zhang Huo-ming, Ma Long-hua. A new optimization algorithm based on chaos[J]. Journal of Zhejiang University Science A, 2006, 7(4): 539~542.

@article{title="A new optimization algorithm based on chaos",
author="Lu Hui-juan, Zhang Huo-ming, Ma Long-hua",
journal="Journal of Zhejiang University Science A",
volume="7",
number="4",
pages="539~542",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0539"
}

%0 Journal Article
%T A new optimization algorithm based on chaos
%A Lu Hui-juan
%A Zhang Huo-ming
%A Ma Long-hua
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 4
%P 539~542
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0539

TY - JOUR
T1 - A new optimization algorithm based on chaos
A1 - Lu Hui-juan
A1 - Zhang Huo-ming
A1 - Ma Long-hua
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 4
SP - 539
EP - 542
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A0539


Abstract: 
In this article, some methods are proposed for enhancing the converging velocity of the COA (chaos optimization algorithm) based on using carrier wave two times, which can greatly increase the speed and efficiency of the first carrier wave’s search for the optimal point in implementing the sophisticated searching during the second carrier wave is faster and more accurate. In addition, the concept of using the carrier wave three times is proposed and put into practice to tackle the multi-variables optimization problems, where the searching for the optimal point of the last several variables is frequently worse than the first several ones.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Choi, C., Lee, J., 1998. Chaotic local search algorithm. Artificial Life & Robotics, 2(1):41-47.

[2] Li, B., Jiang, W.S., 1997. Chaos optimization method and its application. Control Theory and Applications, (4):613-615 (in Chinese).

[3] Tokuda, I., Aihara, K., Nagashima, T., 1998. Adaptive annealing for chaotic optimization. Physical Review E, 58(4):5157-5160.

[4] Wang, Z.L., Qiu, L., Fu, Q., Liang, C., 2002. Application of chaos optimization algorithm to non-linear costrained programming. Journal of North China Institute of Water Conservancy and Hydroelectric Power, (2):1-7 (in Chinese).

[5] Zhang, T., Wang, H.W., Wang, Z.C., 1999. Mutative scale chaos optimization algorithm and its application. Control and Decision, (3):285-288 (in Chinese).

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - Journal of Zhejiang University-SCIENCE