Article
Engineering, Electrical & Electronic
Han Liu, Chuan Li, Songbai He, Weimin Shi, Yin Chen, Wen Shi
Summary: In this brief, an automatic power amplifier design system based on simulated annealing particle swarm optimization algorithm is proposed. It is used for multi-objective optimization in designing broadband Doherty like load-modulated balanced amplifier. The optimization process can be automatically implemented by combining the programming environment with commercial electronic design automation software. The experimental results demonstrate the superiority of the proposed system in designing broadband Doherty like LMBA.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Computer Science, Information Systems
Ting Wang, Peng Shao, Shanhui Liu, Guangquan Li, Fuhao Yang
Summary: This paper proposes a Multi-Mechanism Particle Swarm Optimization (HGSPSO) algorithm that optimizes the position update formula and dynamically updates inertia weights to accelerate convergence and help particles jump out of local extrema. Experimental results show that this algorithm outperforms five comparison algorithms in all evaluation metrics and assessment schemes.
Article
Computer Science, Information Systems
Emad Mirsadeghi, Salman Khodayifar
Summary: Each metaheuristic algorithm has its pros and cons, and hybridizing multiple algorithms can cover their weaknesses. In this study, PSO, SA, and DE are combined to develop a more powerful search algorithm. The new algorithm balances exploration and exploitation capabilities, improves exploration to escape local minimums, and utilizes past experiences for smarter mutations to outperform other algorithms in most cases.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2021)
Article
Engineering, Civil
Ershen Wang, Xiaozhu Shi, Xidan Deng, Jing Gao, Wei Zhang, Huan Wang, Song Xu
Summary: Civil aviation transportation equipment is essential for intelligent transportation due to its convenience and speed. The reliability of positioning information and traffic safety are significant concerns. The advanced receiver autonomous integrity monitoring (ARAIM) offers vertical guidance in civil aviation fields during different navigation stages. However, the traditional multiple hypothesis solution separation (MHSS) algorithm lowers the global availability of ARAIM. To address this issue, an adaptive simulated annealing particle swarm optimization (ASAPSO) algorithm was proposed to redistribute integrity and continuity risks and establish a protection level optimization model. Experimental results using real BeiDou navigation satellite system/global positioning system (BDS/GPS) data showed that the optimized algorithm decreased the vertical protection level (VPL) and improved ARAIM availability by 1.73% to 2.73%. The optimized algorithm enhances integrity monitoring at different navigation stages and ensures reliable positioning results.
JOURNAL OF ADVANCED TRANSPORTATION
(2023)
Article
Mathematics
Shiyuan Yang, Hongtao Wang, Yihe Xu, Yongqiang Guo, Lidong Pan, Jiaming Zhang, Xinkai Guo, Debiao Meng, Jiapeng Wang
Summary: This paper presents a new framework for reliability-based design optimization (RBDO), which improves the efficiency of RBDO solutions by combining an improved particle swarm algorithm (PSO) with a decoupling strategy using a simulated annealing algorithm (SA). By quickly solving the Most Probable Point (MPP) and enhancing the global optimization capabilities, the accuracy of RBDO results is ensured.
Article
Chemistry, Physical
Sida Zhou, Xinhua Liu, Yang Hua, Xinan Zhou, Shichun Yang
Summary: This article introduces a coupled hybrid adaptive particle swarm optimization-hybrid simulated annealing algorithm for precise parameter identification, which is validated on three different types of batteries and shows excellent consistency between simulation results and experimental data.
JOURNAL OF POWER SOURCES
(2021)
Article
Engineering, Chemical
Danlei Chen, Yiqing Luo, Xigang Yuan
Summary: This study presented a stochastic optimization method for the synthesis of cascade refrigeration system (CRS) with simultaneous consideration of heat integration between refrigerant and process streams. The proposed methodology was verified by a case study of CRS optimization in an ethylene plant, achieving 21.89% the total annual cost saving.
CHINESE JOURNAL OF CHEMICAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Yun Hou, Guosheng Hao, Yong Zhang, Feng Gu, Wenyang Xu
Summary: This paper proposes a multi-objective discrete particle swarm optimization algorithm to solve the particle routing problem in distributed particle filters. Experimental results show that the algorithm is highly competitive and can provide multiple high-quality Pareto optimal solutions.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Chuan Li, Fei You, Tingting Yao, Jinchen Wang, Wen Shi, Jun Peng, Songbai He
Summary: This article introduces a method for automated design of high-efficiency power amplifiers using an optimization-oriented approach. By utilizing the SA-PSO algorithm, the design of a broadband 10W and a triband 6W power amplifier was successful, achieving good performance in their respective frequency bands.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2021)
Article
Multidisciplinary Sciences
Md Amanath Ullah, Rasool Keshavarz, Mehran Abolhasan, Justin Lipman, Negin Shariati
Summary: This study proposes a low-profile dual-band pixelated defected ground antenna at 3.5 GHz and 5.8 GHz bands. By using binary particle swarm optimization algorithm, a unique pixelated defected ground is designed to achieve single-band and dual-band antenna. The antenna exhibits almost omnidirectional radiation performance and dual radiation pattern property.
SCIENTIFIC REPORTS
(2022)
Article
Geosciences, Multidisciplinary
Xuehui Liu, Guisheng Hou, Lei Yang
Summary: This study considers the impact of high energy consumption in data centers on the environment and proposes a method to reduce energy consumption using clean energy and waste heat. The research results show that using natural gas and wind energy as the main energy supply can effectively reduce the overall energy consumption of data centers.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Multidisciplinary Sciences
Olatunji A. Akinola, Absalom E. Ezugwu, Olaide N. Oyelade, Jeffrey O. Agushaka
Summary: In this paper, a new hybrid method called BDMSAO is proposed, which combines the binary variants of the dwarf mongoose optimization algorithm (BDMO) and simulated annealing (SA) algorithm to solve mechanical engineering design problems. The hybrid algorithm, by utilizing different algorithms for global and local search, improves the effectiveness of feature selection problems and outperforms other methods in the study.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Deye Jiang, Yiguang Wang
Summary: Research shows that a BP neural network optimized with the ASAPSO algorithm can accurately diagnose and locate faults in power electronic circuits.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
Article
Engineering, Electrical & Electronic
Jie Zhou, Wenxian Jia, Menghan Liu, Mengying Xu
Summary: LSWSNs consist of many tiny sensor nodes with limited energy consumption, storage capabilities, and communication capabilities. This paper introduces a new EASA algorithm to prolong the lifetime of LSWSNs and presents sensor duty cycle models to ensure full coverage of monitoring targets. Simulation results show that EASA algorithm can extend the network lifetime significantly compared to GA and PSO algorithms.
JOURNAL OF SENSORS
(2021)
Article
Multidisciplinary Sciences
Qing Duan, Lu Wang, Hongwei Kang, Yong Shen, Xingping Sun, Qingyi Chen
Summary: This paper introduces an improved salp swarm algorithm (SASSA) that enhances performance through strategies such as chaotic sequence initialization and symmetric adaptive population division, as well as a simulated annealing mechanism based on symmetric perturbation. The efficiency of SASSA was evaluated using CEC standard benchmark functions, demonstrating its superior global search capability and applicability to engineering optimization problems.
