Atom search optimization algorithm based hybrid antenna array receive beamforming to control sidelobe level and steering the null

Almagboul, Mohammed A.; Shu, Feng; Qian, Yuwen; Zhou, Xiaobo; Wang, Jin; Hu, Jinsong

doi:10.1016/j.aeue.2019.152854

Cited by 40 publications

(25 citation statements)

References 29 publications

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“…ASO algorithm which is proposed by Zhao et al 17 is a population‐based iterative heuristic global optimization algorithm inspired by molecular basis dynamics. ASO approach has been applied in different engineering problems such as dispersion coefficient estimation in groundwater, a hydrogeologic parameter estimation problem, design of centralized thermoelectric generation system, beamforming to control sidelobe level in antenna array, shunt capacitors in radial distribution systems and DC motor speed control 17,24–28 …”

Section: Methodsmentioning

confidence: 99%

Optimum cycle length models using atom search optimization and grasshopper optimization algorithms

Korkmaz

Akgüngör

2021

Concurrency and Computation

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A fixed‐time traffic control system is widely used to manage the traffic flow at intersections. Cycle length has an important effect on the performance of the fixed‐time control system and the Webster model is widely used in the literature to determine the cycle length. However, when the traffic flow ratio (Y) approaches 1, the Webster model loses its effectiveness and cannot determine the cycle length when Y is above 1. In the scope of this study, it is aimed to develop models that can predict cycle length for all traffic conditions in which are Y ≤ 1 and Y ≥ 1. Two different heuristic algorithms, atom search optimization (ASO) and grasshopper optimization algorithm (GOA) were used in the development of models and the performances of these algorithms were demonstrated. The efficiency of the developed models has been demonstrated by comparing them with both Webster's model and VISTRO optimization program. Models developed in exponential, power, and quadratic forms have been able to predict cycle lengths with lower delay values by showing better performance than Webster and VISTRO. In addition, statistical results show that the ASO approach is more successful than the GOA approach.

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Section: Methodsmentioning

confidence: 99%

Optimum cycle length models using atom search optimization and grasshopper optimization algorithms

Korkmaz

Akgüngör

2021

Concurrency and Computation

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“…where parameters u and v are obtained by the normal distribution described by (20), where σ u is defined as (21).…”

Section: The Proposed Calfaso Algorithmmentioning

confidence: 99%

“…Some efforts on ASO have been made in terms of real-world problems and theoretical research. An ASO algorithm-based hybrid antenna array with receive beamforming was utilized to control sidelobe level and steering [21] in 2019. The ASO algorithm and sine-cosine algorithm (SCA) were integrated for automatic data clustering as proposed by Elaziz et al [22] in 2019.…”

Section: Introductionmentioning

confidence: 99%

An Improved Atom Search Optimization With Cellular Automata, a Lévy Flight and an Adaptive Weight Strategy

et al. 2020

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Atom search optimization (ASO) is a newly developed metaheuristic algorithm inspired by molecular basis dynamics. The paramount challenge in ASO is that it is prone to stagnation in local optima and premature convergence. To solve these issues, this paper uses a cellular automata structure, a Lévy flight and adaptive weight strategies to help ASO balance exploration and exploitation; the proposed method is named CALFASO. First, the cellular automata structure provides more information exchange for the population and enriches the diversity of the population. Second, a Lévy flight has the characteristics of a random walk, its short-step long-term search can improve the global search capability of the algorithm, and its short-term long-step mutations can help the algorithm jump out of local optima. Third, adaptive weights can effectively improve convergence performance. Finally, the proposed CALFASO was evaluated on the CEC2017 test set and real-world engineering problems and compared with classical and novel evolutionary algorithms to verify its performance. The experimental results and statistical analysis show that the performance of the proposed CALFASO algorithm is better than that of the other selected algorithms.

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“…Almagboul et al . implemented atom search optimization algorithm to suppress MSL and steering the null in the radiation pattern of LAAs [12].…”

Section: Introductionmentioning

confidence: 99%

Optimum design of linear and circular antenna arrays using equilibrium optimization algorithm

Durmuş

Kurban

2021

Int. J. Microw. Wireless Technol.

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In this paper, equilibrium optimization algorithm (EOA), which is a novel optimization algorithm, is applied to synthesize symmetrical linear antenna array and non-uniform circular antenna array (CAA). The main purpose of antenna array synthesis is to achieve a radiation pattern with low maximum side lobe level (MSL) and narrow half-power beam width (HPBW) in far-field. The low MSL here is an important parameter to reduce interference from other communication systems operating in the same frequency band. A narrow HPBW is needed to achieve high directionality in antenna radiation patterns. Entering the literature as a novel optimization technique, EOA optimally determined the amplitude and position values of the array elements to obtain a radiation pattern with a low MSL and narrow HPBW. The EOA is inspired by models of the control volume mass balance used to predict equilibrium as well as dynamic states. To demonstrate the flexibility and performance of the proposed algorithm, 10-element, 16-element and 24-element linear arrays and eight-element, 10-element and 12-element CAAs are synthesized. The MSL and HPBW values of radiation pattern obtained with the EOA are very successful compared to the results of other optimization methods in the literature.

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Atom search optimization algorithm based hybrid antenna array receive beamforming to control sidelobe level and steering the null

Cited by 40 publications

References 29 publications

Optimum cycle length models using atom search optimization and grasshopper optimization algorithms

Optimum cycle length models using atom search optimization and grasshopper optimization algorithms

An Improved Atom Search Optimization With Cellular Automata, a Lévy Flight and an Adaptive Weight Strategy

Optimum design of linear and circular antenna arrays using equilibrium optimization algorithm

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