Hybrid algorithm for multi-objective optimization design of parallel manipulators

DOI10.1016/j.apm.2021.05.009zbMath1481.70006OpenAlexW3167907924MaRDI QIDQ2247355

Qiaohong Chen, Chao Yang

Publication date: 17 November 2021

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2021.05.009

zbMATH Keywords

Gaussian process regressionparallel manipulatorintelligent optimization algorithmmapping modeling

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Kinematics of mechanisms and robots (70B15)

Related Items (2)

Multielement polynomial chaos kriging-based metamodelling for Bayesian inference of non-smooth systems ⋮ A universal modelling approach and a response index to the vibration analysis for space parallel robots by means of screw theory

Cites Work

• Multi-objective optimization of parallel manipulators using a game algorithm
• Analytical elastostatic stiffness modeling of parallel manipulators considering the compliance of the link and joint
• Parallel robots.
• Configuration-dependent modal analysis of a Cartesian parallel kinematics manipulator: numerical modeling and experimental validation
• A new methodology for optimal kinematic design of parallel mechanisms
• Learning representations by back-propagating errors

This page was built for publication: Hybrid algorithm for multi-objective optimization design of parallel manipulators