Article
Engineering, Electrical & Electronic
Anastasios Papathanasopoulos, Yahya Rahmat-Samii
Summary: This paper proposes a transmitarray antenna solution that can achieve conical beam scanning. Significant advancements in the synthesis and optimization of the off-axis-fed transmitarray are required to develop an off-axis-fed transmitarray for conical beam scanning.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Mathematics
Omer Ali, Qamar Abbas, Khalid Mahmood, Ernesto Bautista Thompson, Jon Arambarri, Imran Ashraf
Summary: This study introduces a competitive coevolution process to enhance the capability of Phasor PSO (PPSO) for global optimization problems. Experimental results show that the improved competitive multi-swarm PPSO (ICPPSO) algorithm achieves a dominating performance, with average improvements of 15%, 20%, 30%, and 35% over PPSO and FMPSO.
Article
Engineering, Electrical & Electronic
Kai Fu, Xiwen Cai, Bo Yuan, Yang Yang, Xin Yao
Summary: This article proposes an efficient ML-based surrogate-assisted particle swarm optimization algorithm for antenna design automation. The algorithm combines particle swarm optimization with two ML-based approximation models and introduces a novel prescreening strategy to select promising antenna designs for simulation. The results show that the proposed algorithm can find favorable results with fewer simulations compared to other methods.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Review
Chemistry, Multidisciplinary
Meetu Jain, Vibha Saihjpal, Narinder Singh, Satya Bir Singh
Summary: Particle swarm optimization (PSO) is a popular swarm-based optimization technique that is inspired by nature. It has gained attention from researchers in various fields due to its flexibility and easy implementation. Since its origin in 1995, researchers have improved and extended PSO, and made significant progress in theoretical analysis.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Tareq M. M. Shami, Seyedali Mirjalili, Yasser Al-Eryani, Khadija Daoudi, Saadat Izadi, Laith Abualigah
Summary: Particle swarm optimization (PSO) is a well-regarded metaheuristic method, but it suffers from slow convergence and local optima entrapment. This study proposes a novel method called velocity pausing PSO (VPPSO) which allows particles to move with the same velocity as the previous iteration. VPPSO demonstrates superior performance in solving high-dimensional problems and can be applied to various real-world optimization problems.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Claudiu Pozna, Radu-Emil Precup, Erno Horvath, Emil M. Petriu
Summary: This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The algorithm is applied to the optimal tuning of proportional-integral-fuzzy controllers for position control of integral-type servo systems, resulting in reduced energy consumption. A comparison with other metaheuristic algorithms is provided at the end of the article.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Chemistry, Analytical
Saeed Roshani, Slawomir Koziel, Salah I. Yahya, Muhammad Akmal Chaudhary, Yazeed Yasin Ghadi, Sobhan Roshani, Lukasz Golunski
Summary: This paper presents a new approach to reduce undesirable coupling in antenna arrays using custom-designed resonators and inverse surrogate modeling. The concept is illustrated with the design and fabrication of two standard patch antenna cells operating at 2.45 GHz. A stepped-impedance resonator is applied between the antennas to suppress mutual coupling. The proposed inverse artificial neural network (ANN) model, constructed from EM-simulation data and trained using the particle swarm optimization (PSO) algorithm, obtains the optimum values of the resonator geometry parameters.
Article
Automation & Control Systems
Izaz Ur Rahman, Zidong Wang, Weibo Liu, Baoliu Ye, Muhammad Zakarya, Xiaohui Liu
Summary: This study presents a novel N-state Markovian jumping PSO algorithm based on the evolution of states governed by a Markov chain, which outperforms some popular PSO algorithms in solving optimization problems.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Computer Science, Information Systems
Heba Soliman Dawood, Heba Ali El-Khobby, Mustafa Mahmoud Abd Elnaby, Amr Hussein Hussein
Summary: This paper introduces new synthesis techniques based on virtual antenna arrays for optimizing elliptical cylindrical antenna arrays (ECAA) in radar systems. By reducing side lobe level, beam thinning, and minimizing the number of elements, significant improvements in array gain and directivity are achieved, leading to enhanced detection range and angular resolution of the radar. The proposed techniques use particle swarm optimization to optimize the transmit and receive linear antenna arrays, leading to more efficient beamformed patterns and reduced implementation cost. Uniform and non-uniform feeding based V-ECAA synthesis techniques are introduced for more flexibility and productivity in antenna array design, with simulations showing significant reductions in the number of elements while maintaining or improving antenna performance. Practical validations of the synthesized V-ECAAs are conducted using computer simulation technology, confirming the effectiveness of the proposed design strategies.
Article
Engineering, Electrical & Electronic
Fan Qin, Rui Song, Wenchi Cheng, Hailin Zhang
Summary: The multibeam transmitarray carrying orbital angular momentum (OAM) was introduced in the letter to achieve 1-D +/-30 degrees beam coverage. A three-layer unit cell design was utilized for high-efficiency transmission and 360 degrees phase coverage, with stable vortex property and high mode purity achieved in a five-beam prototype.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Davoud Sedighizadeh, Ellips Masehian, Mostafa Sedighizadeh, Hossein Akbaripour
Summary: The Particle Swarm Optimization (PSO) algorithm, a nature-inspired meta-heuristic, has evolved into various variants due to its flexibility in parameters and concepts. The Generalized Particle Swarm Optimization (GEPSO) algorithm enriches the original PSO by incorporating new terms and dynamic inertia weight updates, leading to improved performance in continuous space optimization.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2021)
Article
Chemistry, Analytical
Suganya Selvaraj, Eunmi Choi
Summary: This paper proposes an improved PSO algorithm, called dynamic sub-swarm PSO, for text document clustering problems. The experimental results show that this algorithm outperforms standard PSO and K-means algorithms in terms of purity and execution time.
Article
Engineering, Electrical & Electronic
Jianhua Yang, Peng Yang, Feng Yang, Zhiyu Xing, Xiao Ma, Shiwen Yang
Summary: By combining convex programming and particle swarm optimization, a hybrid method is proposed for synthesizing excitations and locations of nonuniformly spaced linear subarrays to minimize the subarray number. Numerical experiments show the effectiveness of this method in saving a considerable number of subarrays compared to uniformly spaced layouts.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Chemistry, Analytical
Ruijie Wang, Xun Wen, Fangmin Xu, Zhijian Ye, Haiyan Cao, Zhirui Hu, Xiaoping Yuan
Summary: Device-to-device (D2D) communication is a promising wireless communication technology that reduces the traffic load of the base station and improves spectral efficiency. The application of intelligent reflective surfaces (IRS) in D2D communication systems can further enhance throughput, but interference suppression becomes more complex due to new links. This paper proposes a low-complexity power and phase shift joint optimization algorithm based on particle swarm optimization (PSO) to address this challenge.
Article
Engineering, Electrical & Electronic
Guowei Li, Yuehe Ge, Zhizhang Chen
Summary: The letter presents a low-profile multibeam fully planar folded transmitarray antenna (FTA) based on the bifocal principle, which achieves high transmission efficiency and 3 b compensation phases. A new technique is proposed to improve the isolations among the feeding antennas, utilizing the multiplicity of the elements. Experimental results of a Ku-band multibeam FTA show a peak gain of 22.7 dBi and a scanning range of +/- 21 degrees, with a maximum feed isolation of 24 dB.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Si Li, Atef Z. Elsherbeni, Zhenfeng Ding, Yunlong Mao
APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL
(2020)
Article
Engineering, Electrical & Electronic
Rachel Lumnitzer, Allison Tanner, Atef Z. Elsherbeni
APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL
(2020)
Article
Engineering, Electrical & Electronic
Joshua M. Kast, Atef Z. Elsherbeni
APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL
(2020)
Article
Engineering, Electrical & Electronic
Fatih Kaburcuk, Atef Z. Elsherbeni
Summary: This paper explores two speeding up techniques for reducing computation time and computer memory in analyzing the electromagnetic interaction between an adjacent antenna and a human head model. The study shows that these techniques provide a remarkable reduction in computation time and computer memory required.
APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Zhen Su, Kirill Klionovski, Hanguang Liao, Yiming Chen, Atef Z. Elsherbeni, Atif Shamim
Summary: This work presents a 3-D antenna on package (AoP) designed using a combination of three orthogonal dipoles model and particle swarm optimization technique, which can achieve near-isotropic radiation pattern and wide CP coverage simultaneously, providing important technical support for IoT applications.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Engineering, Electrical & Electronic
Joshua M. Kast, Jacob D. Rezac, Stefania Romisch, Atef Z. Elsherbeni, Jeanne T. Quimby
Summary: The paper presents a mathematical framework for evaluating timing offset and noise in channel sounders. By analyzing different clock-distribution configurations, the study explores timing behaviors in these setups.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Joshua M. Kast, Atef Z. Elsherbeni
Summary: A formulation for X-Parameters extraction of nonlinear devices using finite-difference time-domain electromagnetic simulation is developed. Testing a simulation domain containing a diode and applying various excitation waveforms, followed by post-processing of simulation results, allows for the extraction of X-Parameter values with good agreement between the developed procedure and a commercial simulator.
2021 UNITED STATES NATIONAL COMMITTEE OF URSI NATIONAL RADIO SCIENCE MEETING (USNC-URSI NRSM)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Alec Weiss, Atef Elsherbeni, Jeanne Quimby
Summary: This paper introduces a flexible framework for evaluating a channel estimator and validates it against an analytical solution. This framework is necessary for assessing a new Monte-Carlo based channel estimator for 5G wireless communication devices, which aims to provide more accurate channel estimation by accounting for hardware irregularities.
2021 UNITED STATES NATIONAL COMMITTEE OF URSI NATIONAL RADIO SCIENCE MEETING (USNC-URSI NRSM)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Z. Su, K. Klionovski, H. Liao, A. Shamim, Y. Chen, A. Elsherbeni
2020 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION AND NORTH AMERICAN RADIO SCIENCE MEETING
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Fatih Kaburcuk, Atef Z. Elsherbeni, Rachel Lumnitzer, Allison Tanner
2020 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION AND NORTH AMERICAN RADIO SCIENCE MEETING
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Yiming Chen, Atef Z. Elsherbeni, Khalid Alharbi, Rabah Aldhaheri
2020 XXXIIIRD GENERAL ASSEMBLY AND SCIENTIFIC SYMPOSIUM OF THE INTERNATIONAL UNION OF RADIO SCIENCE
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Antonio P. Thomson, Atef Z. Elsherbeni, Mohammed Hadi
2020 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM (2020 ACES-MONTEREY)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Joshua M. Kast, Atef Z. Elsherbeni
2020 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM (2020 ACES-MONTEREY)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Madison Le, Mohammed Hadi, Atef Elsherbeni
2020 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM (2020 ACES-MONTEREY)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Rachel Lumnitzer, Allison Tanner, Atef Z. Elsherbeni
2020 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM (2020 ACES-MONTEREY)
(2020)
