Chaos generator exploiting a gradient model with sinusoidal perturbations for global optimization

DOI10.1016/j.chaos.2009.03.088zbMath1198.37145OpenAlexW2016519854MaRDI QIDQ603782

Keiji Tatsumi, Yoshinori Obita, Tetsuzo Tanino

Publication date: 8 November 2010

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2009.03.088

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Dynamical systems in optimization and economics (37N40)

Related Items (6)

A Chaotic Particle Swarm Optimization Exploiting Snap-Back Repellers of a Perturbation-Based System ⋮ A Weaker Sufficient Condition for the Chaoticity of Extended Perturbation-Based Updating System for Global Optimization ⋮ A chaotic particle swarm optimization exploiting a virtual quartic objective function based on the personal and global best solutions ⋮ Particle swarm optimization with stochastic selection of perturbation-based chaotic updating system ⋮ A SUFFICIENT CONDITION FOR CHAOS IN THE GRADIENT MODEL WITH PERTURBATION METHOD FOR GLOBAL OPTIMIZATION ⋮ A Perturbation Based Chaotic System Exploiting the Quasi-Newton Method for Global Optimization

Cites Work

• Chaos embedded particle swarm optimization algorithms
• Euler's finite difference scheme and chaos in \(R^ n\)
• Snap-back repellers imply chaos in \(\mathbb{R}^n\)
• An improved version of the Marotto theorem
• A hybrid method of chaotic particle swarm optimization and linear interior for reactive power optimisation
• Application of chaos in simulated annealing
• On redefining a snap-back repeller
• Improved particle swarm optimization combined with chaos
• A neural network model as a globally coupled map and applications based on chaos
• Snapback repellers as a cause of chaotic vibration of the wave equation with a van der Pol boundary condition and energy injection at the middle of the span
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Chaos generator exploiting a gradient model with sinusoidal perturbations for global optimization