Particle Swarm Optimization

Also known as PSO

Overview

Particle Swarm Optimization studies how a population of candidate solutions can search for good answers by updating each candidate using its own experience and information shared by other particles. Common approaches change the swarm’s interaction topology or diversity, combine PSO with gradients or local search, and use surrogate models or learned guidance to reduce costly evaluations. Researchers apply these methods to continuous and discrete benchmarks, engineering design, neural architecture search, and tracking changing optima. A central challenge is balancing exploration with convergence: methods that help on one landscape may fail on another, making robust performance and fair comparisons under equal evaluation budgets ongoing concerns.

Latest papers

CardsList

21 papers2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. Freezing Mechanism and Topology Dependence of Information Flow Structure in Small-Scale Particle Swarm Optimization

    Oct 24, 2026Zhenglong Xiang, Hongrun Wu, Yu Xue +2Particle Swarm Optimization

  2. Machine learning-assisted calibration of Agent-based Models: surrogate-based optimization with Genetic Algorithm and Particle Swarm Optimization

    Sep 4, 2026Duguma Yeshitla Habtemariam, Jihwan LeeSurrogate-Assisted OptimizationAgent-Based Modeling

  3. Chameleon: An Adaptive AI-Driven Honeypot Architecture Using Threat-Calibrated Particle Swarm Optimization and Semantic Deception Rapidly-Exploring Random Trees

    Aug 15, 2026Rohit Swami, Tushar Singh, Akash Warde +1Metaheuristic OptimizationCybersecurity

  4. HPSO: Particle Swarm Optimization with Hypergraph-Based Topology

    Aug 5, 2026Wenbin Pei, Xi Luo, Bing Xue +2Evolutionary OptimizationParticle Swarm Optimization

  5. AutoPSO: A Meta-framework for Automated Particle Swarm Optimization

    Jul 29, 2026Xinmeng Yu, Jiaxin Gao, Jianguo Zhang +2Automated Algorithm DiscoveryAutomated Heuristic Design

  6. Constraint-aware Optimization in Auto-Tuning

    Jun 17, 2026Floris-Jan Willemsen, Stijn Heldens, Rob V. van Nieuwpoort +1Differential EvolutionEvolutionary Optimization

  7. p-PSO: A Penalized Particle Swarm Optimization Technique for Finding D-Optimal Designs with Mixed Factors in Generalized Linear Models

    Jun 14, 2026Shrabanti Chowdhury, Abhyuday MandalConstrained OptimizationParticle Swarm Optimization

  8. Trajectory Optimization in Single and Dual-UAV Bearing-Only Target Localization

    Jun 8, 2026Zhijian Xiao, Huayu Huang, Bin Li +2Trajectory OptimizationMetaheuristic Optimization

  9. Multi-Column RBF Neural Network Using Adaptive and Non-Adaptive Particle Swarm Optimization

    Jun 3, 2026Ammar Hoori, Yuichi MotaiMetaheuristic OptimizationNeural Network Optimization

  10. Anarchy in the swarm: Testing informed and uninformed diversity-enhancing mechanisms within PSO framework

    May 24, 2026Piotr Urbańczyk, Aleksandra UrbańczykMetaheuristic OptimizationParticle Swarm Optimization

  11. AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization

    May 9, 2026Hyunmin Hwang, Jaemin Kim, Choonghan Kim +2LLM Agent Skill LearningMulti-Agent Reasoning

  12. Frenetic Cat-inspired Particle Optimization: a Markov state-switching hybrid swarm optimizer with application to cardiac digital twinning

    Apr 17, 2026Jorge Sánchez, Guadalupe García-Isla, Sandra Perez-Herrero +2Black-Box OptimizationMetaheuristic Optimization

  13. Enhancing Discrete Particle Swarm Optimization for Hypergraph-Modeled Influence Maximization

    Apr 17, 2026Qianshi Wang, Xilong Qu, Wenbin Pei +2Metaheuristic OptimizationParticle Swarm Optimization

  14. An Intelligent Robotic and Bio-Digestor Framework for Smart Waste Management

    Apr 16, 2026Radhika Khatri, Adit Tewari, Nikhil Sharma +1RoboticsParticle Swarm Optimization

  15. Deep Neural Network-guided PSO for Tracking a Global Optimal Position in Complex Dynamic Environment

    Apr 15, 2026Stephen Raharja, Toshiharu SugawaraParticle Swarm Optimization

  16. G-ICSO-NAS: Shifting Gears between Gradient and Swarm for Robust Neural Architecture Search

    Apr 1, 2026Xingbang Du, Enzhi Zhang, Rui Zhong +2Neural Architecture SearchParticle Swarm Optimization

  17. Associative Constructive Evolution: Enhancing Metaheuristics through Hebbian-Learned Generative Guidance

    Mar 31, 2026Shanxian Lin, Yuichi Nagata, Haichuan YangMolecule DesignMetaheuristic Optimization

  18. Quadratic Surrogate Attractor for Particle Swarm Optimization

    Mar 17, 2026Maurizio Clemente, Marcello CanovaParticle Swarm OptimizationSurrogate-Assisted Optimization

  19. Explainable Information Processing in Particle Swarm Optimization through Landscape and Search Behavior Analysis

    Sep 8, 2025Nitin Gupta, Bapi Dutta, Anupam YadavMetaheuristic OptimizationExplainability Evaluation