An improved clustering-based multi-swarm PSO using local diversification and topology information
Fuente:
arXiv
Saved in:
| Main Authors: | Matanga, Yves, Sun, Yanxia, Wang, Zenghui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Traffic Relief Road Design using Bilevel Programming and Greedy Seeded Simulated Annealing: A Case Study of Kinshasa
by: Matanga, Yves, et al.
Published: (2025)
by: Matanga, Yves, et al.
Published: (2025)
Improved discrete particle swarm optimization using Bee Algorithm and multi-parent crossover method (Case study: Allocation problem and benchmark functions)
by: Zibaei, Hamed, et al.
Published: (2024)
by: Zibaei, Hamed, et al.
Published: (2024)
Quantifying the Impact of Modules and Their Interactions in the PSO-X Framework
by: Camacho-Villalón, Christian L., et al.
Published: (2026)
by: Camacho-Villalón, Christian L., et al.
Published: (2026)
Duck swarm algorithm: theory, numerical optimization, and applications
by: Zhang, Mengjian, et al.
Published: (2021)
by: Zhang, Mengjian, et al.
Published: (2021)
A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data
by: Li, Jinyan, et al.
Published: (2025)
by: Li, Jinyan, et al.
Published: (2025)
Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation
by: Bossens, David M., et al.
Published: (2020)
by: Bossens, David M., et al.
Published: (2020)
Improved Forecasting Using a PSO-RDV Framework to Enhance Artificial Neural Network
by: Aribe Jr, Sales
Published: (2024)
by: Aribe Jr, Sales
Published: (2024)
Particle swarm optimization for online sparse streaming feature selection under uncertainty
by: Xu, Ruiyang
Published: (2025)
by: Xu, Ruiyang
Published: (2025)
Multi-task multi-constraint differential evolution with elite-guided knowledge transfer for coal mine integrated energy system dispatching
by: Dai, Canyun, et al.
Published: (2024)
by: Dai, Canyun, et al.
Published: (2024)
Balancing Interpretability and Performance in Motor Imagery EEG Classification: A Comparative Study of ANFIS-FBCSP-PSO and EEGNet
by: Aktar, Farjana, et al.
Published: (2025)
by: Aktar, Farjana, et al.
Published: (2025)
Synaptic metaplasticity with multi-level memristive devices
by: D'Agostino, Simone, et al.
Published: (2023)
by: D'Agostino, Simone, et al.
Published: (2023)
On the use of feature-maps and parameter control for improved quality-diversity meta-evolution
by: Bossens, David M., et al.
Published: (2021)
by: Bossens, David M., et al.
Published: (2021)
Genetic-based Constraint Programming for Resource Constrained Job Scheduling
by: Nguyen, Su, et al.
Published: (2024)
by: Nguyen, Su, et al.
Published: (2024)
An exploration for higher efficiency in multi objective optimisation with reinforcement learning
by: Aydin, Mehmet Emin
Published: (2025)
by: Aydin, Mehmet Emin
Published: (2025)
Towards Robust and Accurate Myoelectric Controller Design based on Multi-objective Optimization using Evolutionary Computation
by: Shaikh, Ahmed Aqeel, et al.
Published: (2022)
by: Shaikh, Ahmed Aqeel, et al.
Published: (2022)
Discovering new robust local search algorithms with neuro-evolution
by: Sakhri, Mohamed Salim Amri, et al.
Published: (2025)
by: Sakhri, Mohamed Salim Amri, et al.
Published: (2025)
Predicting Confinement Effect of Carbon Fiber Reinforced Polymers on Strength of Concrete using Metaheuristics-based Artificial Neural Networks
by: Wahab, Sarmed, et al.
Published: (2023)
by: Wahab, Sarmed, et al.
Published: (2023)
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor
by: Richter, Ole, et al.
Published: (2023)
by: Richter, Ole, et al.
Published: (2023)
Analysis and Fully Memristor-based Reservoir Computing for Temporal Data Classification
by: Singh, Ankur, et al.
Published: (2024)
by: Singh, Ankur, et al.
Published: (2024)
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
by: You, Kang, et al.
Published: (2024)
by: You, Kang, et al.
Published: (2024)
Enabling Population-Level Parallelism in Tree-Based Genetic Programming for GPU Acceleration
by: Wu, Zhihong, et al.
Published: (2025)
by: Wu, Zhihong, et al.
Published: (2025)
Solving nonograms using Neural Networks
by: Rubio, José María Buades, et al.
Published: (2025)
by: Rubio, José María Buades, et al.
Published: (2025)
Hidden Holes: topological aspects of language models
by: Fitz, Stephen, et al.
Published: (2024)
by: Fitz, Stephen, et al.
Published: (2024)
Training neural networks without backpropagation using particles
by: Kumar, Deepak
Published: (2024)
by: Kumar, Deepak
Published: (2024)
Particle Swarm Optimization based on Novelty Search
by: Misra, Mr. Rajesh, et al.
Published: (2022)
by: Misra, Mr. Rajesh, et al.
Published: (2022)
Runtime Analysis for Permutation-based Evolutionary Algorithms
by: Doerr, Benjamin, et al.
Published: (2022)
by: Doerr, Benjamin, et al.
Published: (2022)
Task-Specific Activation Functions for Neuroevolution using Grammatical Evolution
by: Winter, Benjamin David, et al.
Published: (2025)
by: Winter, Benjamin David, et al.
Published: (2025)
Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization
by: Jiwatode, Mohit, et al.
Published: (2024)
by: Jiwatode, Mohit, et al.
Published: (2024)
Runtime Analysis of Evolutionary Algorithms for Multi-party Multi-objective Optimization
by: Sun, Yuetong, et al.
Published: (2025)
by: Sun, Yuetong, et al.
Published: (2025)
Strategies for Resource Allocation of Two Competing Companies using Genetic Algorithm
by: Cheung, Wing Keung, et al.
Published: (2025)
by: Cheung, Wing Keung, et al.
Published: (2025)
REvolve: Reward Evolution with Large Language Models using Human Feedback
by: Hazra, Rishi, et al.
Published: (2024)
by: Hazra, Rishi, et al.
Published: (2024)
Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization
by: Neumann, Frank, et al.
Published: (2024)
by: Neumann, Frank, et al.
Published: (2024)
Optimal Synthesis of Finite State Machines with Universal Gates using Evolutionary Algorithm
by: Ullah, Noor, et al.
Published: (2024)
by: Ullah, Noor, et al.
Published: (2024)
Diagnostic Method for Hydropower Plant Condition-based Maintenance combining Autoencoder with Clustering Algorithms
by: Jad, Samy, et al.
Published: (2025)
by: Jad, Samy, et al.
Published: (2025)
Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures
by: Sanaullah, et al.
Published: (2024)
by: Sanaullah, et al.
Published: (2024)
Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning
by: Sun, Yinqian, et al.
Published: (2023)
by: Sun, Yinqian, et al.
Published: (2023)
Multi-objective Cat Swarm Optimization Algorithm based on a Grid System
by: Ahmed, Aram M., et al.
Published: (2025)
by: Ahmed, Aram M., et al.
Published: (2025)
Clustering-based Transfer Learning for Dynamic Multimodal MultiObjective Evolutionary Algorithm
by: Yan, Li, et al.
Published: (2025)
by: Yan, Li, et al.
Published: (2025)
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation
by: Naharro, Pablo S., et al.
Published: (2024)
by: Naharro, Pablo S., et al.
Published: (2024)
Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
by: Cai, Wuque, et al.
Published: (2026)
by: Cai, Wuque, et al.
Published: (2026)
Similar Items
-
Optimal Traffic Relief Road Design using Bilevel Programming and Greedy Seeded Simulated Annealing: A Case Study of Kinshasa
by: Matanga, Yves, et al.
Published: (2025) -
Improved discrete particle swarm optimization using Bee Algorithm and multi-parent crossover method (Case study: Allocation problem and benchmark functions)
by: Zibaei, Hamed, et al.
Published: (2024) -
Quantifying the Impact of Modules and Their Interactions in the PSO-X Framework
by: Camacho-Villalón, Christian L., et al.
Published: (2026) -
Duck swarm algorithm: theory, numerical optimization, and applications
by: Zhang, Mengjian, et al.
Published: (2021) -
A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data
by: Li, Jinyan, et al.
Published: (2025)