Hybrid particle swarm optimization and pattern search algorithm

DOI10.1007/s11081-020-09534-7zbMath1484.90140OpenAlexW3043306338MaRDI QIDQ2129208

Eric Koessler, Ahmad Almomani

Publication date: 22 April 2022

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-020-09534-7

zbMATH Keywords

pattern searchderivative-free optimizationparticle swarm optimizationhybrid algorithmtest problem benchmarking

Mathematics Subject Classification ID

Derivative-free methods and methods using generalized derivatives (90C56) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

Modeling and optimization: theory and applications (MOPTA) 2019 -- selected works ⋮ Tracking performance of the coaxial counter-paddle flight system using fractional active disturbance rejection controller

Uses Software

• Matlab
• PSwarm

Cites Work

• Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
• A literature survey of benchmark functions for global optimisation problems
• A particle swarm pattern search method for bound constrained global optimization
• `` Direct Search Solution of Numerical and Statistical Problems

This page was built for publication: Hybrid particle swarm optimization and pattern search algorithm