Synthesis of linear antenna arrays using Jaya, self-adaptive Jaya and chaotic Jaya algorithms

Ravipudi, Jaya Lakshmi; Neebha, T. Mary

doi:10.1016/j.aeue.2018.05.022

Cited by 36 publications

(11 citation statements)

References 27 publications

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“…6] are chaotic values randomly extracted from the 2D chaotic map. Other chaotic maps have been applied to Jaya in [32,78]. However, they do not surmount the chaotic behavior of the aforementioned 2D map.…”

Section: Preliminariesmentioning

confidence: 99%

Settings-Free Hybrid Metaheuristic General Optimization Methods

et al. 2020

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Several population-based metaheuristic optimization algorithms have been proposed in the last decades, none of which are able either to outperform all existing algorithms or to solve all optimization problems according to the No Free Lunch (NFL) theorem. Many of these algorithms behave effectively, under a correct setting of the control parameter(s), when solving different engineering problems. The optimization behavior of these algorithms is boosted by applying various strategies, which include the hybridization technique and the use of chaotic maps instead of the pseudo-random number generators (PRNGs). The hybrid algorithms are suitable for a large number of engineering applications in which they behave more effectively than the thoroughbred optimization algorithms. However, they increase the difficulty of correctly setting control parameters, and sometimes they are designed to solve particular problems. This paper presents three hybridizations dubbed HYBPOP, HYBSUBPOP, and HYBIND of up to seven algorithms free of control parameters. Each hybrid proposal uses a different strategy to switch the algorithm charged with generating each new individual. These algorithms are Jaya, sine cosine algorithm (SCA), Rao’s algorithms, teaching-learning-based optimization (TLBO), and chaotic Jaya. The experimental results show that the proposed algorithms perform better than the original algorithms, which implies the optimal use of these algorithms according to the problem to be solved. One more advantage of the hybrid algorithms is that no prior process of control parameter tuning is needed.

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Section: Preliminariesmentioning

confidence: 99%

Settings-Free Hybrid Metaheuristic General Optimization Methods

et al. 2020

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“…The array synthesis can be achieved by controlling the excitations' amplitudes and phases and the positions of the array elements either with uniform or nonuniform spacing. Different synthesis techniques of linear antenna arrays (LAAs) have been introduced in [1][2][3][4][5][6]. In [1], a hybrid technique between the method of moments (MoM) and the Genetic algorithm (GA) is introduced to synthesize both pencil beam and shaped beam patterns using minimum numbers of antenna elements.…”

Section: Introductionmentioning

confidence: 99%

Pencil and Shaped Beam Patterns Synthesis Using a Hybrid GA/l₁ Optimization and Its Application to Improve Spectral Efficiency of Massive MIMO Systems

et al. 2021

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The synthesis of pencil beam and arbitrarily shaped beam patterns of linear antenna arrays (LAA) using reduced number of antenna elements attracts the attention of researchers in recent years. In this paper, a hybrid beamforming technique based on the combination of the genetic algorithm (GA) optimization technique and the 1 minimization method denoted as (GA/ 1) is introduced for LAAs synthesis. The proposed GA/ 1 beamforming technique optimizes both the elements excitations and interelement spacing to synthesize the desired LAA pattern with a minimum number of antenna elements. The GA/ 1 technique provides an excellent approximation to the desired radiation pattern with high accuracy and low complexity (less number of iterations and computational time) compared to the other synthesis approaches introduced in the literature. In addition, as an application of this work, the proposed GA/ 1 technique is used to build up a proposed hybrid precoding and beamforming (HP-BF) structure for Massive Multi-input Multi-output (M-MIMO) systems. In this structure, the transmit antenna array is synthesized for maximum gain realization using the existing number of antenna elements. In the HP-BF structure, the proposed GA/ 1 technique is used to make full use of the existing transmit array elements to synthesize the radiation pattern of much larger size and higher gain arrays without the need for additional elements. Thereby, significant savings in the number of antenna elements and their corresponding radio frequency (RF) chains are achieved, which reduces the system complexity. In addition, the array gain maximization will maximize the received signal to noise ratio (SNR) giving rise to higher system performance in terms of spectral efficiency (SE) and power utilization. INDEX TERMS Array synthesis, analog phase shifters, hybrid precoding and beamforming structure, Massive Multi-input Multi-output, millimeter waves, spectral efficiency, uniform linear array.

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“…The fitness function is used to check and evaluate the search process for the best individuals by associated fitness values. The selection cursors decide the individuals to move to the next generation until the global optimization results 25‐27 …”

Section: Introductionmentioning

confidence: 99%

Enhancement of tidal generators by superconducting energy storage and Jaya‐based sliding‐mode controller

Othman

2020

Int J Energy Res

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This article presents a novel control technique of Jaya-based super-sliding controller that is applied on superconducting magnetic energy storage system (SCMES). The SCMES will be integrated to operate with tidal turbine generators (TTGs). The penetration of TTGs has recently grown due to distributed generation contributions to the energy sector. To alleviate the potential system instability due to TTG dynamic performance, SCMES is connected to TTG to support the dynamic operational conditions. SCMES is implemented to act quickly during both cases of power generation and absorption, so it can realize any required mismatch between the supply and load power at dynamic transient periods. To enhance such capability, this article proposes the application of Jaya-based super-sliding control technique to control and tune the system dynamic gains. The proposed technique implements incorporated cooperative algorithms using enhanced Jaya competitive algorithm and super-sliding method to facilitate the exchange of energy between the SCMES, the TTG, and the power network. It allows smooth dynamic performance, power quality enhancement, and robust dynamic reference tracking. Jaya-based super-sliding controller is developed and proposed for accurate and reliable control and tunning of system parameters. The proposed controller ensures the superb performance of the synergy of SCMESs and TTGs. Digital simulations have validated the effectiveness of the proposed system with the optimal dynamic parameters and minimization of the global control error.

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Synthesis of linear antenna arrays using Jaya, self-adaptive Jaya and chaotic Jaya algorithms

Cited by 36 publications

References 27 publications

Settings-Free Hybrid Metaheuristic General Optimization Methods

Settings-Free Hybrid Metaheuristic General Optimization Methods

Pencil and Shaped Beam Patterns Synthesis Using a Hybrid GA/l₁ Optimization and Its Application to Improve Spectral Efficiency of Massive MIMO Systems

Enhancement of tidal generators by superconducting energy storage and Jaya‐based sliding‐mode controller

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