Article
Computer Science, Artificial Intelligence
Reza Vafashoar, Hossein Morshedlou, Mohammad Reza Meybodi
Summary: The paper improves particle swarm optimizer by adjusting the neighborhood structures of particles, dividing the search task between even and uneven particles for deep search, and utilizing a tree structure for neighborhood implementation. Experimental results show significant improvement in particle swarm optimization and successful application in solving challenging real-world problems.
APPLIED SOFT COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Bosong Duan, Chuangqiang Guo, Hong Liu
Summary: This paper presents a new hybrid genetic-particle swarm optimization algorithm that combines particle swarm optimization and genetic algorithm through parallel architecture. It takes advantage of the efficiency of PSO and the global optimization ability of GA. The algorithm uses PSO initially and switches to GA when the global best value does not change, aiming to escape local optima. The proposed GPSO algorithm also incorporates adaptive features and multi-point crossover operation to enhance the optimization ability. Experimental results show that the proposed algorithm outperforms other algorithms in terms of finding optimal value, convergence speed, and time overhead.
Article
Computer Science, Artificial Intelligence
M. Chandrasekhar
Summary: This paper presents a synthesis technique based on particle swarm optimization for broad beam pattern of linear antenna arrays (LAA). It employs three design parameters to obtain desired radiation pattern and evaluates the algorithm consistency by extending the study to different LAA lengths. The experimentation is carried out in MATLAB and the obtained radiation patterns are analyzed.
Article
Computer Science, Information Systems
Eunice Oluwabunmi Owoola, Kewen Xia, Ting Wang, Abubakar Umar, Romoke Grace Akindele
Summary: Pattern synthesis is an important research focus in smart antennas, and in this paper, an optimization method using the Mayfly Algorithm is introduced for uniform and sparse linear antenna array synthesis. The algorithm improves antenna array performance by optimizing current amplitudes and positions, achieving SLL suppression and null control, while maintaining uniform spacing and aperture length constraints. The results show considerable enhancements in peak SLL suppression, null control, and convergence rate compared to existing optimization techniques.
Article
Multidisciplinary Sciences
Pham Vu Hong Son, Nghiep Trinh Nguyen Dang
Summary: The study introduces a hybrid multi-verse optimizer model (hDMVO) that combines the multi-verse optimizer (MVO) and the sine cosine algorithm (SCA) to solve the discrete time-cost trade-off problem (DTCTP). The optimality of the algorithm is evaluated using 23 benchmark test functions, demonstrating its competitiveness with other algorithms. The performance of hDMVO is further evaluated using four benchmark test problems, showing its superiority in time-cost optimization for large-scale and complex projects compared to previous algorithms.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Information Systems
Xinming Zhang, Qiuying Lin
Summary: This paper proposes an improved SL-PSO algorithm, called TLS-PSO, which enhances the optimization performance of PSO through the use of three learning strategies and a hybrid learning mechanism. Experimental results demonstrate that TLS-PSO outperforms state-of-the-art PSO variants and other algorithms on complex functions and engineering problems, indicating its superior performance and potential for practical problem-solving.
INFORMATION SCIENCES
(2022)
Article
Mechanics
Ricardo Fitas, Goncalo das Neves Carneiro, Carlos Conceicao Antonio
Summary: The inclusion of uncertainty in structural design optimization has led to more complex formulations, where uncertainty quantification significantly impacts solution methods and computing times. Designs that maintain steady levels of performance under uncertainty are referred to as robust, and the combination of both robustness and performance optimality is known as Robust Design Optimization (RDO). This study proposes a new approach to RDO for angle-ply composite laminate structures, utilizing a hybridization of Particle Swarm Optimization and Genetic Algorithms.
COMPOSITE STRUCTURES
(2023)
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)
Article
Computer Science, Artificial Intelligence
Hong Wang, Yikun Ou, Yixin Wang, Tongtong Xing, Lijing Tan
Summary: A semi-supervised bacterial heuristic feature selection algorithm is proposed to address high-dimensional and label-missing problems. The algorithm utilizes a k-nearest neighbor semi-supervised learning strategy to reconstruct missing labels and improves the bacterial heuristic algorithm using population initialization, dynamic learning, and elite population evolution strategies. Experimental results demonstrate its advantages in terms of classification accuracy and selected feature numbers.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Heba S. Dawood, Heba A. El-Khobby, Mustafa M. Abd Elnaby, Amr H. Hussein
Summary: The paper introduces new distributed beamforming techniques based on an optimized elliptical arc geometry (EAG) for back lobe cancellation of linear antenna arrays (LAA). Different techniques utilizing single or double ellipses are proposed for minimizing back lobes while keeping transmission energies constant. The proposed DE-EAG-WOE technique further optimizes both transmission energies and positions for back lobe minimization.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Engineering, Aerospace
Xiande Wu, Yuheng Yang, Yuqi Sun, Yaen Xie, Xiangshuai Song, Bing Huang
Summary: This paper proposes a novel region splitting algorithm based on Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm to achieve high coverage, low overlap ratio, and efficient satellite utilization in regional observation. The encoding method and parallel iterative optimal method are detailed. Finally, simulation results validate the proposed algorithm and analyze the effects of algorithm parameters.
Article
Mechanics
An Gong, Yongan Zhang, Youzhuang Sun, Wei Lin, Jing Wang
Summary: In this study, an NMR proxy model based on adaptive ensemble learning was proposed to efficiently and economically predict the rock movable fluid indexes. The model combines 33 base learners through political optimization to improve the prediction accuracy. The results show that this new strategy outperforms the other 33 base learners.
Article
Environmental Sciences
Tarique Anwar Qureshi, Vilas Warudkar
Summary: This passage introduces a new hybrid algorithm, hybrid particle swarm optimization and genetic algorithm (HPSOGA), for optimizing wind farm layout to achieve maximum output power. HPSOGA combines the advantages of particle swarm optimization and genetic algorithm to effectively handle problems with multiple local optima. The algorithm has two phases for improving initial parameters and adjusting them for improved fitness. The wake effect is analyzed using the Jenson-Wake model, and the objective function considers the cost of wind turbines and the power output of the wind farm. The interspacing of wind turbines is evaluated using the rule of thumb. HPSOGA outperforms other methods in terms of total output power generation, and simulation results validate its reliability in wind farm layout optimization.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Milad Razghandi, Aliakbar Dehghan, Reza Yousefzadeh
Summary: The study compared the performance of genetic algorithm and particle swarm optimization algorithm in optimizing operational conditions and well locations in an Iranian oilfield. Results showed the superiority of particle swarm optimization over genetic algorithm at every stage, and simultaneous optimization approach was found to be more beneficial in obtaining better results compared to sequential optimization. A sensitivity analysis was also conducted to identify the most critical decision variable affecting the project's profitability.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(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
J. Zhu, G. V. Eleftheriades
ELECTRONICS LETTERS
(2009)
Article
Engineering, Electrical & Electronic
Jiang Zhu, George V. Eleftheriades
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2009)
Article
Engineering, Electrical & Electronic
Jiang Zhu, George V. Eleftheriades
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2010)
Article
Engineering, Electrical & Electronic
Jiang Zhu, Marco A. Antoniades, George V. Eleftheriades
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2010)
Article
Physics, Multidisciplinary
Jiang Zhu, George V. Eleftheriades
PHYSICAL REVIEW LETTERS
(2008)
Article
Engineering, Electrical & Electronic
Yuchu He, Changzhan Gu, Haijiang Ma, Jiang Zhu, George V. Eleftheriades
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2019)
Article
Engineering, Electrical & Electronic
Jiang Zhu
IEEE ANTENNAS AND PROPAGATION MAGAZINE
(2021)
Article
Computer Science, Information Systems
Aline Eid, Jiang Zhu, Luzhou Xu, Jimmy G. D. Hester, Manos M. Tentzeris
Summary: In this article, a solution called the HoloTag system is proposed, which uses a low-cost UHF RFID array and holographic projection to localize and monitor the health of multiple targets. The research demonstrates its high accuracy in simultaneously measuring breathing rates and positions.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Xuanke He, Jiang Zhu, Wenjing Su, Manos M. Tentzeris
Article
Engineering, Electrical & Electronic
Changzhan Gu, Yuchu He, Jiang Zhu
IEEE SENSORS LETTERS
(2019)
Article
Physics, Applied
Micah Stickel, Francis Elek, Jiang Zhu, George V. Eleftheriades
JOURNAL OF APPLIED PHYSICS
(2007)
Article
Engineering, Electrical & Electronic
D. Li, J. Zhu, N. K. Nikolova, M. H. Bakr, J. W. Bandler
IET MICROWAVES ANTENNAS & PROPAGATION
(2007)
Article
Engineering, Electrical & Electronic
Jiang Zhu, John W. Bandler, Natalia K. Nikolova, Slawornir Koziel
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2007)
Article
Computer Science, Information Systems
Wenjing Su, Jiang Zhu, Huan Liao, Manos M. Tentzeris
