Optimizing PID control for multi-model adaptive high-speed rail platform door systems with an improved metaheuristic approach by Dong Zhan, Ai-Qing Tian, Shao-Quan Ni

Get full text

Sparse Array Mutual Coupling Reduction by C. Larmour, N. Buchanan, V. Fusco, M. Ali Babar Abbasi

Get full text

Network Optimization of Fresh Products Cold Chain Considering Supply Disruption and Demand Fluctuation Under the Dual-Carbon Policy by Haojie Ran, Dichen He, Huajun Tang

Get full text

Dung beetle optimizer based on mean fitness distance balance and multi-strategy fusion for solving practical engineering problems by Wanru Tang, Haoze Qin, Shuang Kang

Get full text

Enhancing Short-Term Prediction of BDS-3 Satellite Clock Bias Based with BSO Optimized BP Neural Network by Shaoshuai Ya, Xingwang Zhao, Chao Liu, Jian Chen, Chunyang Liu, Haojie Hu

Get full text

Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of Storage by Yiwen Geng, Qi Liu, Hao Zheng, Shitong Yan

“…Stage II employs an improved multi-objective particle swarm optimization (IMOPSO) algorithm to optimize HESS power allocation, minimizing unit hydrogen production cost and reducing average battery charge–discharge depth. …”
Get full text

Hybrid optimization for sustainable design and sizing of standalone microgrids integrating renewable energy, diesel generators, and battery storage with environmental consideration... by Mohd Bilal, Pitshou N. Bokoro, Gulshan Sharma

“…This study proposes the Hybrid Particle Whale Optimization Algorithm (HPWOA), combining Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA), to overcome the convergence issues of traditional methods. …”
Get full text

Theoretical framework to design and optimize feasible all optical modulator based on multi passband slit array filters in frequency domain by Mostafa Shabani, Gholamreza Karimi, Alvise Bagolini

“…Driven by the urgent need for high-performance optical filters and modulators in THz communication and imaging systems, this paper proposes an energy-efficient, high-modulation-depth all-optical modulator based on a plasmonic silicon-core slit array structure, along with methods for its design, fabrication, and optimization. The design process for tuning the number, resonance frequencies, amplitudes, and quality factors of the transmission passbands was based on a hybrid genetic particle swarm algorithm, employing both finite element method (FEM) and circuit modeling. …”
Get full text

Optimal dispatch of integrated energy system considering time-space dimensional demand response based on time-of-use electricity price by Tingli Cheng, Tingli Cheng, Liqiang Zeng, Hao Tang, Yingying Zhang

“…The Particle Swarm Optimization (PSO) algorithm is then applied to solve the complex dispatch problem. …”
Get full text

Virtual power plant to ensure reliable power supply and accident-free operation of process equipment of a mining enterprise by Telmanova E.D., Abdrakhmanov I.D.

“…As a result, the principle of "swarm intelligence of fruit fly" has been proposed, using an additional immune algorithm. …”
Get full text

A Time Delay Prediction Model of 5G Users Based on the BiLSTM Neural Network Optimized by APSO-SD by Xiaozheng Dang, Di He, Cong Xie

“…First, a channel generative model based on the ray-tracing model and the statistical channel model is constructed to obtain a large amount of time delay data, and a 5G user ray data feature model based on three-dimensional stereo mapping is proposed for input feature extraction. Then, an adaptive particle swarm optimization algorithm based on a search perturbation mechanism and differential enhancement strategy (APSO-SD) is proposed for the parameters’ optimization of BiLSTM neural networks. …”
Get full text

Fluid flow characteristics estimation of a new integrated bifluid/airbased photovoltaic thermal system utilizing a hybrid optimization method by Ghassan A. Bilal, Abdullateef A. Jadallah, Omayma M. Abdulmajeed, Müslüm Arıcı

“…This paper aims to utilize soft computing techniques in predicting the outlet fluids’ temperatures for monitoring based on the experience of outdoor experiments. The optimization was conducted using the Particle Swarm Optimization method to decide the rules of the Fuzzy Logic Controller. …”
Get full text

Blockchain-based heterogeneous resource configuration scheme in computing power network by Qiang Gao, Chunyu Liu, Lei Wang, Yiqing Liu, Yueqiang Xu

“…Given the complexity of the original problem, we decompose it into two subproblems and solve each using the Lagrange multiplier iterative algorithm. To validate the effectiveness of our proposed solution, we compare it with several baseline approaches, including those based on Particle Swarm Optimization (PSO) and reinforcement learning methods such as Proximal Policy Optimization (PPO). …”
Get full text

New PSO-GWO-based model for enhancing power quality in electrical networks interconnected with photovoltaic sources by Mehdi Sanaei, Hamidreza Akbari, Zohreh Beheshtipour, Somayeh Mousavi

“…This research endeavors to elucidate how achieving a more refined power pattern in electric networks is attainable by considering the power quality of PV sources. A hybrid Particle Swarm Optimization-Gray Wolf Optimization (PSO-GWO) algorithm is proposed to obtain optimal solutions. …”
Get full text

Optimizing the core loading pattern and fuel composition in a hexagonal small modular nuclear reactor via ANN-PSO approach by G.R. Ansarifar, M.R. Karimi, H. Zayermohammadi Rishehri

“…The gadolinia concentration was effectively optimized using the Particle Swarm Optimization (PSO) algorithm. …”
Get full text

Metaheuristic optimization of extreme gradient boosting machine for enhanced prediction of lateral strength of reinforced concrete columns under cyclic loadings by Phu-Anh-Huy Pham, Nhat-Duc Hoang

“…Since model selection is critical for constructing a reliable prediction mode, this study relies on utilizing metaheuristic approaches, including Genetic Algorithm, Particle Swarm Optimization, Artificial Bee Colony, and Ant Colony Optimization, to optimize the performance of the XGBoost model. …”
Get full text

A multi task learning framework using DeBERTa and BWO optimization for enhancing long term english vocabulary memory by Jiasheng Zhu

“…Compared with PSO (Particle Swarm Optimization), GA (Genetic Algorithm) and GWO (Grey Wolf Optimizer), BWO showed better English word memory rate in cross-domain tests and under cognitive interference. …”
Get full text

Lightweight privacy preservation blockchain framework for healthcare applications using GM-SSO by Adla Padma, Mangayarkarasi Ramaiah

Get full text

Voltage Control and Power Loss Reduction in an Active Distribution Network using Solid State Transformers by Syed Faizan Ali Shah, Dr. Malik Intisar Ali Sajjad, Muhammad Faisal Nadeem Khan, Haroon Farooq, Akhtar Rasool

Get full text

Characteristics prediction and optimization for fan duct surface heat exchanger using regional heat transfer correlation and NSWOA aided by Sobol’ by Zhe Xu, Zongling Yu, Xin Ning, Changyin Zhao, Zhihua Zhu, Zhibin Feng

“…A heat transfer unit response model between nine configuration parameters and heat transfer efficiency, weight is constructed by combining Taguchi and Particle Swarm Optimization-trained Adaptive Neuro-Fuzzy Inference System, and based on it, a characteristics optimization method based on Non-dominated Sorting Whale Optimization Algorithm aided by Sobol’ is proposed to simultaneously realize heat transfer enhancement, flow resistance reduction, and lightweight design. …”
Get full text