A new hybrid algorithm combining a new chaos optimization approach with gradient descent for high dimensional optimization problems

DOI10.1007/s40314-017-0454-9zbMath1409.90147OpenAlexW2621040173MaRDI QIDQ1993552

N. Aslimani, Rachid Ellaia

Publication date: 5 November 2018

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-017-0454-9

zbMATH Keywords

global optimizationsymmetrizationgradient descenthybridizationlevellingchaos optimisation algorithm (COA)large dimension optimization problem

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26)

Related Items (1)

The free energy principle made simpler but not too simple

Cites Work

• A new hybrid method for solving global optimization problem
• Chaos embedded particle swarm optimization algorithms
• Adaptive chaos clonal evolutionary progamming algorithm
• Application of chaos in simulated annealing
• Fast chaotic optimization algorithm based on locally averaged strategy and multifold chaotic attractor
• An optimization algorithm based on chaotic behavior and fractal nature
• Improved particle swarm optimization combined with chaos
• A more secure chaotic cryptographic scheme based on the dynamic look-up table
• An automated hybrid genetic-conjugate gradient algorithm for multimodal optimization problems
• A hybrid gradient-based and differential evolution algorithm for infinite impulse response adaptive filtering
• A global control of polynomial chaotic systems
• Controlling chaos
• Deterministic Nonperiodic Flow
• OPTIMIZING COMPLEX FUNCTIONS BY CHAOS SEARCH
• Synchronization in chaotic systems
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: A new hybrid algorithm combining a new chaos optimization approach with gradient descent for high dimensional optimization problems