A new methodology for evolutionary optimization of energy systems.

DOI10.1016/j.cma.2003.07.006zbMath1054.76554OpenAlexW2033061943MaRDI QIDQ1421014

D. S. McCorkle, C. G. Carmichael, Kenneth Mark Bryden

Publication date: 23 January 2004

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2003.07.006

zbMATH Keywords

Neural networksOptimizationComputational fluid dynamicsEvolutionary algorithms

Mathematics Subject Classification ID

Optimization problems in thermodynamics and heat transfer (80M50) Flow control and optimization for compressible fluids and gas dynamics (76N25)

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Cites Work

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• Hybridization of a multi-objective genetic algorithm, a neural network and a classical optimizer for a complex design problem in fluid dynamics
• Multidisciplinary shape optimization in aerodynamics and electromagnetics using genetic algorithms
• On Non-Parametric Estimates of Density Functions and Regression Curves
• Viscous single and multicomponent airfoil design with genetic algorithms

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