ArticleScientific reports2024
Research on hybrid strategy Particle Swarm Optimization algorithm and its applications.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- A Hybrid Giza Pyramids Construction-Crow Search Algorithm-Particle Swarm Optimization (HGPC-CSA-PSO) Framework for Simulating Dynamic Collaborative Grouping in Interpreting Education: A Simulation-Based Exploratory Study.Biomimetics (Basel, Switzerland) · 2026Article
- Improved Egret Swarm Optimization Algorithm Based on Variable-Factor Weighted Learning and Adjacent Generation Dimension Crossover Strategy.Biomimetics (Basel, Switzerland) · 2026Article
- Enhanced fuel economy and emission reduction in parallel HEV powertrains through swarm and deterministic algorithms.Scientific reports · 2026Article
- An Optimized Clustering Routing Algorithm for Wireless Sensor Networks Based on Spotted Hyena and Improved Energy-Efficient Non-Uniform Clustering.Sensors (Basel, Switzerland) · 2026Article
- TMPA-HC: a two-stage heterogeneous multi-population algorithm with cooperative search for high-dimensional feature selection.Scientific reports · 2026Article
- Leveraging TIS-Enhanced Crayfish Optimization Algorithm for High-Precision Prediction of Long-Term Achievement in Mathematical Elite Talents.Biomimetics (Basel, Switzerland) · 2026Article
- Persistence-Weighted Performance Metric for PID Gain Optimization in Optical Tracking of Unknown Space Objects.Sensors (Basel, Switzerland) · 2025Article
- Empirical Evaluation of an Elitist Replacement Strategy for Differential Evolution with Micro-Populations.Biomimetics (Basel, Switzerland) · 2025Article
- Indoor WiFi fingerprint localization based on dual population PSO of stacked autoencoder and multi label classification.Scientific reports · 2025Article
- Hare escape optimization algorithm with applications in engineering and deep learning.Scientific reports · 2025Article
- Basketball team optimization algorithm (BTOA): a novel sport-inspired meta-heuristic optimizer for engineering applications.Scientific reports · 2025Article
- An improved RIME optimization algorithm based maximum power point tracking method for photovoltaic system under partially shading condition.Scientific reports · 2025Article
- Heuristic optimization in classification atoms in molecules using GCN via uniform simulated annealing.Scientific reports · 2025Article
- Stiffness Compensation in Variable Displacement Mechanisms of Swash Plate Axial Piston Pumps Utilizing Piezoelectric Actuators.Materials (Basel, Switzerland) · 2025Article
- Enhanced Multi-Model Deep Learning for Rapid and Precise Diagnosis of Pulmonary Diseases Using Chest X-Ray Imaging.Diagnostics (Basel, Switzerland) · 2025Article
- A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions.Scientific reports · 2025Article
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6 authors.
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Abstract
The increasing complexity and high-dimensional nature of real-world optimization problems necessitate the development of advanced optimization algorithms. Traditional Particle Swarm Optimization (PSO) often faces challenges such as local optima entrapment and slow convergence, limiting its effectiveness in complex tasks. This paper introduces a novel Hybrid Strategy Particle Swarm Optimization (HSPSO) algorithm, which integrates adaptive weight adjustment, reverse learning, Cauchy mutation, and the Hook-Jeeves strategy to enhance both global and local search capabilities. HSPSO is evaluated using CEC-2005 and CEC-2014 benchmark functions, demonstrating superior performance over standard PSO, Dynamic Adaptive Inertia Weight PSO (DAIW-PSO), Hummingbird Flight patterns PSO (HBF-PSO), Butterfly Optimization Algorithm (BOA), Ant Colony Optimization (ACO), and Firefly Algorithm (FA). Experimental results show that HSPSO achieves optimal results in terms of best fitness, average fitness, and stability. Additionally, HSPSO is applied to feature selection for the UCI Arrhythmia dataset, resulting in a high-accuracy classification model that outperforms traditional methods. These findings establish HSPSO as an effective solution for complex optimization and feature selection tasks.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.