Analysis and Clustering-Based Improvement of Particle Filter Optimization Algorithms

Analysis and Clustering-Based Improvement of Particle Filter Optimization Algorithms

This study highlights how particle filter optimization (PFO) algorithms can explore objective functions and their robustness near optimums. Improvements of the general algorithm are also introduced to increase search efficiency. Population-based optimization algorithms reach outstanding performance...

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Bibliographic Details
Main Authors: Eva Kenyeres, Janos Abonyi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Complex systems
clustering
particle filter
robust optimization
Online Access:https://ieeexplore.ieee.org/document/10504283/

Internet

https://ieeexplore.ieee.org/document/10504283/

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