GSA improvement via the von Neumann stability analysis

DOI10.1007/s11047-020-09833-zzbMath1530.68240OpenAlexW3129930781MaRDI QIDQ6095505

Sameh Kessentini, Ihcène Naâs

Publication date: 8 September 2023

Published in: Natural Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11047-020-09833-z

zbMATH Keywords

stability analysisgravitational search algorithmgravitational constantmetaheuristic algorithmsparameter setting

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Cites Work

• Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
• Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
• BGSA: Binary gravitational search algorithm
• The modified equation approach to the stability and accuracy analysis of finite-difference methods
• Stability analysis of particle dynamics in gravitational search optimization algorithm
• An electromagnetism-like mechanism for global optimization
• GSA: A gravitational search algorithm
• A quantum inspired gravitational search algorithm for numerical function optimization
• Unnamed Item

This page was built for publication: GSA improvement via the von Neumann stability analysis