Volume 8 Number 8 (Aug. 2013)
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JCP 2013 Vol.8(8): 2093-2100 ISSN: 1796-203X
doi: 10.4304/jcp.8.8.2093-2100

Chaotic Hybrid Invasive Weed Optimization for Machinery Optimizing

Lijun Xie1, Aijia Ouyang, Libin Liu2, Minghua He3, Xuyu Peng4, and Xu Zhou2
1 Department of Automotive Engineering, Changsha Vocational & Technical College, Changsha , China
2 College of Information Science and Engineering, Hunan University, Changsha, China
3 Department of Mathematics and Computer Science, University of Chizhou, Chizhou, China
4 Institute of Higher Education, Jinggangshan University, Ji’an, China


Abstract—We present a chaotic hybrid invasive weed optimization (CHIWO) algorithm with an adaptive penalty function which is introduced to solve the constraints for solving the machinery optimizing problems. The proposed CHIWO algorithm runs consistently well on the studies of 13 Benchmark functions and 3 machinery optimizing problems. Experimental results indicate that CHIWO algorithm is a simple and efficient method which can improve the performance of invasive weed optimization (IWO) in terms of computing accuracy and robustness.

Index Terms—chaos, invasive weed optimization, BFGS method, hybrid algorithm, machinery optimizing

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Cite: Lijun Xie, Aijia Ouyang, Libin Liu, Minghua He, Xuyu Peng, and Xu Zhou, " Chaotic Hybrid Invasive Weed Optimization for Machinery Optimizing," Journal of Computers vol. 8, no. 8, pp. 2093-2100, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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