IEICE TRANSACTIONS on Fundamentals
A Modified Whale Optimization Algorithm for Pattern Synthesis of Linear Antenna Array
Summary :
A modified whale optimization algorithm (MWOA) with dynamic leader selection mechanism and novel population updating procedure is introduced for pattern synthesis of linear antenna array. The current best solution is dynamic changed for each whale agent to overcome premature with local optima in iteration. A hybrid crossover operator is embedded in original algorithm to improve the convergence accuracy of solution. Moreover, the flow of population updating is optimized to balance the exploitation and exploration ability. The modified algorithm is tested on a 28 elements uniform linear antenna array to reduce its side lobe lever and null depth lever. The simulation results show that MWOA algorithm can improve the performance of WOA obviously compared with other algorithms.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E104-A No.5 pp.818-822
- Publication Date
- 2021/05/01
- Publicized
- 2020/11/09
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2020EAL2096
- Type of Manuscript
- LETTER
- Category
- Numerical Analysis and Optimization
Authors
Wentao FENG
National Key Laboratory of Science and Technology on Blind Signal Processing
Dexiu HU
Zhengzhou Institute of Information Science and Technology
Keyword
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Wentao FENG, Dexiu HU, "A Modified Whale Optimization Algorithm for Pattern Synthesis of Linear Antenna Array" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 5, pp. 818-822, May 2021, doi: 10.1587/transfun.2020EAL2096.
Abstract: A modified whale optimization algorithm (MWOA) with dynamic leader selection mechanism and novel population updating procedure is introduced for pattern synthesis of linear antenna array. The current best solution is dynamic changed for each whale agent to overcome premature with local optima in iteration. A hybrid crossover operator is embedded in original algorithm to improve the convergence accuracy of solution. Moreover, the flow of population updating is optimized to balance the exploitation and exploration ability. The modified algorithm is tested on a 28 elements uniform linear antenna array to reduce its side lobe lever and null depth lever. The simulation results show that MWOA algorithm can improve the performance of WOA obviously compared with other algorithms.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020EAL2096/_p
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@ARTICLE{e104-a_5_818,
author={Wentao FENG, Dexiu HU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Modified Whale Optimization Algorithm for Pattern Synthesis of Linear Antenna Array},
year={2021},
volume={E104-A},
number={5},
pages={818-822},
abstract={A modified whale optimization algorithm (MWOA) with dynamic leader selection mechanism and novel population updating procedure is introduced for pattern synthesis of linear antenna array. The current best solution is dynamic changed for each whale agent to overcome premature with local optima in iteration. A hybrid crossover operator is embedded in original algorithm to improve the convergence accuracy of solution. Moreover, the flow of population updating is optimized to balance the exploitation and exploration ability. The modified algorithm is tested on a 28 elements uniform linear antenna array to reduce its side lobe lever and null depth lever. The simulation results show that MWOA algorithm can improve the performance of WOA obviously compared with other algorithms.},
keywords={},
doi={10.1587/transfun.2020EAL2096},
ISSN={1745-1337},
month={May},}
Copy
TY - JOUR
TI - A Modified Whale Optimization Algorithm for Pattern Synthesis of Linear Antenna Array
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 818
EP - 822
AU - Wentao FENG
AU - Dexiu HU
PY - 2021
DO - 10.1587/transfun.2020EAL2096
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2021
AB - A modified whale optimization algorithm (MWOA) with dynamic leader selection mechanism and novel population updating procedure is introduced for pattern synthesis of linear antenna array. The current best solution is dynamic changed for each whale agent to overcome premature with local optima in iteration. A hybrid crossover operator is embedded in original algorithm to improve the convergence accuracy of solution. Moreover, the flow of population updating is optimized to balance the exploitation and exploration ability. The modified algorithm is tested on a 28 elements uniform linear antenna array to reduce its side lobe lever and null depth lever. The simulation results show that MWOA algorithm can improve the performance of WOA obviously compared with other algorithms.
ER -
English
