International Journal of RF and Microwave Computer-Aided Engineering

Volume 25, Issue 2 pp. 154-163

Research Article

A novel hybrid invasive weed optimization algorithm for pattern synthesis of array antennas

Yan Liu,

Corresponding Author

Yan Liu

National Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi'an, Shaanxi 710071, PR China

Correspondence to: Y. Liu; e-mail: [email protected].Search for more papers by this author

Yong-Chang Jiao,

Yong-Chang Jiao

National Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi'an, Shaanxi 710071, PR China

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Ya-Ming Zhang,

Ya-Ming Zhang

School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072 PR China

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Yan Liu,

Corresponding Author

Yan Liu

National Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi'an, Shaanxi 710071, PR China

Correspondence to: Y. Liu; e-mail: [email protected].Search for more papers by this author

Yong-Chang Jiao,

Yong-Chang Jiao

National Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi'an, Shaanxi 710071, PR China

Search for more papers by this author

Ya-Ming Zhang,

Ya-Ming Zhang

School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072 PR China

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First published: 17 September 2014

https://doi.org/10.1002/mmce.20844

Citations: 11

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ABSTRACT

By introducing novel strategies in Invasive Weed Optimization (IWO), a hybrid algorithm called IWO-simplified quadratic approximation (SQA) is proposed, in which an adaptive standard deviation is designed to improve the convergence performances of the original IWO, and SQA is embedded into IWO as a local search operator to enhance the overall search capability of the algorithm. Simulated results for six benchmark functions show that the proposed algorithm performs better than the original IWO algorithm. In addition, the proposed algorithm is used to the pattern synthesis of array antennas. Compared to the genetic algorithm (GA) and particle swarm optimization (PSO), the advantages of IWO-SQA algorithm are shown. As another application, the phase-only pattern reconfigurable arrays are synthesized by IWO-SQA algorithm, and the numerical results show that IWO-SQA algorithm is superior to GA. All the testing results show that it is an effective improvement to embed SQA into IWO algorithm. © 2014 Wiley Periodicals, Inc. Int J RF and Microwave CAE 25:154–163, 2015.

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