Scopus
YÖKSİS ISSN Eşleşti
SJR Q1
Chaos embedded particle swarm optimization algorithms
Chaos Solitons and Fractals · Mayıs 2009
YÖKSİS Kayıtları — ISSN Eşleşmesi
Novel approaches to determine age and gender from dental x-ray images by using multiplayer perceptron neural networks and image processing techniques
2019 ISSN: 0960-0779 SCI-Expanded
Prof. Dr. FATİH BAŞÇİFTÇİ →
Makale Bilgileri
ISSN09600779
Yayın TarihiMayıs 2009
Cilt / Sayfa40 · 1715-1734
Scopus ID2-s2.0-67349261353
Özet
This paper proposes new particle swarm optimization (PSO) methods that use chaotic maps for parameter adaptation. This has been done by using of chaotic number generators each time a random number is needed by the classical PSO algorithm. Twelve chaos-embedded PSO methods have been proposed and eight chaotic maps have been analyzed in the benchmark functions. It has been detected that coupling emergent results in different areas, like those of PSO and complex dynamics, can improve the quality of results in some optimization problems. It has been also shown that, some of the proposed methods have somewhat increased the solution quality, that is in some cases they improved the global searching capability by escaping the local solutions. © 2007 Elsevier Ltd. All rights reserved.
Yazarlar (3)
1
Bilal Alatas
2
Erhan Akin
ORCID: 0000-0001-6476-9255
3
A. Bedri Ozer
Kurumlar
Firat Üniversitesi
Elazig Turkey
Son Atıflar
Revisiting a novel A4 scenario for optimizing neutrino masses with AI-Based algorithm
Physics Letters Section B Nuclear Elementary Particle and High Energy Physics
· 2026 · DOI
Robotic Arm Trajectory Planning for Tunnel Lighting Cleaning Based on the CAW-PSO Algorithm
Sensors
· 2026 · DOI
Rock Brittleness Prediction with BDEGTO-Optimized XGBoost
Processes
· 2026 · DOI
Research on Path Planning for Mobile Police Robots Based on Improved Crested Porcupine Optimizer and DWA Algorithm
IEEE Access
· 2026 · DOI
Several Improved Models of the Mountain Gazelle Optimizer for Solving Optimization Problems
CMES Computer Modeling in Engineering and Sciences
· 2026 · DOI
Morlet Wavelet Neural Network Simulation for Nonlinear Finance Model: an Intelligent and Comparative analysis
Computational Economics
· 2026 · DOI
Optimizing neutrino mass predictions with particle swarm optimization and neural network algorithm under SU(2)L × Δ(27) × Z2 symmetry
Chinese Journal of Physics
· 2025 · DOI
Particle swarm optimization based analysis to unlocking the neutrino mass puzzle using flavor symmetry
Scientific Reports
· 2025 · DOI
T7 flavour symmetry gym: the key to unlock the neutrino mass puzzle
Pramana Journal of Physics
· 2025 · DOI
Chaotic Vortex Nanoparticle Swarms (CVNPS): Formation and stability analysis
Applied Soft Computing
· 2025 · DOI
Scimago Dergi (ISSN Eşleşmesi)
Chaos, Solitons and Fractals
Q1
SJR Skoru1,184
H-Index175
YayıncıElsevier Ltd
ÜlkeUnited Kingdom
Applied Mathematics (Q1)
Mathematical Physics (Q1)
Mathematics (miscellaneous) (Q1)
Physics and Astronomy (miscellaneous) (Q1)
Statistical and Nonlinear Physics (Q1)
Metrikler
492
Atıf
3
Yazar