Stability analysis of particle dynamics in gravitational search optimization algorithm

DOI10.1016/J.INS.2015.12.017zbMath1395.68252OpenAlexW2202712410MaRDI QIDQ1671295

Mahdi Aliyari Shoorehdeli, Faezeh Farivar

Publication date: 6 September 2018

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2015.12.017

zbMATH Keywords

optimizationconvergencegravitational search algorithmLyapunov stability analysis

Mathematics Subject Classification ID

Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (4)

An easily understandable grey wolf optimizer and its application to fuzzy controller tuning ⋮ GSA improvement via the von Neumann stability analysis ⋮ Adaptive switching gravitational search algorithm: an attempt to improve diversity of gravitational search algorithm through its iteration strategy ⋮ Two kinds of classifications based on improved gravitational search algorithm and particle swarm optimization algorithm

Uses Software

• GSA

Cites Work

• Clustered-gravitational search algorithm and its application in parameter optimization of a low noise amplifier
• Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
• A literature survey of benchmark functions for global optimisation problems
• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• GSA: A gravitational search algorithm
• Generalizations and new proof of the discrete-time positive real lemma and bounded real lemma
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