Hybrid optimisation method of improved genetic algorithm and IFT for linear thinned array-Reference-Cited by-同舟云学术

Hybrid optimisation method of improved genetic algorithm and IFT for linear thinned array

Published:2019-08-20 Issue:20 Volume:2019 Page:6457-6460
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Wang Zheng¹,Sun Yuze²,Yang Xiaopeng¹,Li Shuai¹

Affiliation:

1. Beijing Key Laboratory of Embedded Real‐time Information Processing TechnologySchool of Information and ElectronicsBeijing Institute of TechnologyBeijingPeople's Republic of China

2. Department of Electronic EngineeringTsinghua UniversityBeijingPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.0296

Reference12 articles.

1. Thinned arrays using genetic algorithms

2. Advances in Particle Swarm Optimization for Antenna Designs: Real-Number, Binary, Single-Objective and Multiobjective Implementations

3. Ant Colony Optimization in Thinned Array Synthesis With Minimum Sidelobe Level

4. Phased‐array antenna pattern synthesis by simulated annealing;Farhat N.H.;Proc. IEEE,1987

5. Differential Evolution Strategy for Constrained Global Optimization and Application to Practical Engineering Problems

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