Synthesis of linear antenna arrays using Jaya,self-adaptive Jaya and chaotic Jaya algorithms |
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| Affiliation: | 1. School of Science, Zhongyuan University of Technology, Zhengzhou, Henan, China;2. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China;1. Ferdwosi University of Mashhad, Electrical Dept., Mashhad, Iran;2. Iran University of Science and Technology, School of Electrical Engineering, Tehran, Iran;1. Department of Electronics and Communication Engineering, NIT Durgapur, 713209, India;2. Department of Electrical Engineering, NIT Durgapur, 713209, India |
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| Abstract: | This work aims to show the effectiveness of a recently proposed population-based optimization algorithm known as Jaya algorithm and its variants named as self-adaptive Jaya algorithm (SJaya) and Chaotic-Jaya (CJaya) algorithm to synthesize linear antenna arrays which are widely used in the communication systems. Three case studies of synthesis of linear antenna arrays are formulated by considering different topologies. In addition, two case studies of synthesis of dipole antenna arrays are formulated and all the case studies are solved using Jaya, SJaya and CJaya algorithms. The results of Jaya, SJaya and CJaya algorithms are compared with those of cat swarm optimization (CSO) algorithm, particle swarm optimization (PSO), Cauchy mutated cat swarm optimization (CMCSO) algorithm, harmony search based differential evolution algorithm (HSDEA), dynamic differential evolution algorithm (DDE), improved genetic algorithm (IGA), modified real genetic algorithm (MGA) and accelerated particle swarm optimization (APSO) algorithm. The Jaya, SJaya and CJaya algorithms achieved a better side lobe level suppression as compared to the other optimization algorithms while maintaining the vital antenna parameters within permissible limits. |
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| Keywords: | Linear antenna array synthesis Optimization Jaya algorithm Self-adaptive Jaya Chaotic-Jaya |
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