Performance evaluation of two meta-heuristic schemes in airfoil design

DOI10.1007/s13369-016-2102-xzbMath1391.76565OpenAlexW2334191587MaRDI QIDQ1639455

J. Srinivas, L. Prabhu

Publication date: 12 June 2018

Published in: Arabian Journal for Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13369-016-2102-x

zbMATH Keywords

surrogate modelmicro-genetic algorithmairfoil parametersmicro-differential evolutionsubsonic incompressible flow

Mathematics Subject Classification ID

Uses Software

• FlowLab

Cites Work

• Bézier-PARSEC: an optimized aerofoil parameterization for design
• Aerodynamic optimization via multi-objective micro-genetic algorithm with range adaptation, knowledge-based reinitialization, crowding and \(\varepsilon \)-dominance
• Some models of viscous–inviscid interaction
• Unnamed Item
• Unnamed Item

This page was built for publication: Performance evaluation of two meta-heuristic schemes in airfoil design