Distributed evolutionary optimization using Nash games and GPUs -- applications to CFD design problems

DOI10.1016/j.compfluid.2012.03.017zbMath1284.65196OpenAlexW2048247029WikidataQ110213336 ScholiaQ110213336MaRDI QIDQ2446634

Jyri Leskinen, Jacques Periaux

Publication date: 17 April 2014

Published in: Computers and Fluids (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compfluid.2012.03.017

zbMATH Keywords

shape optimizationcomputational fluid dynamicsdistributed computingGPUsNash gamesgeometry decomposition

Mathematics Subject Classification ID

Applications of game theory (91A80) Numerical algorithms for specific classes of architectures (65Y10)

Related Items (4)

Virtual Stackelberg game coupled with the adjoint method for aerodynamic shape optimization ⋮ Single/two-objective aerodynamic shape optimization by a Stackelberg/adjoint method ⋮ Parallel hybrid PSO with CUDA for lD heat conduction equation ⋮ Game theory based evolutionary algorithms: a review with Nash applications in structural engineering optimization problems

Uses Software

• NEWUOA
• FreeFem++
• Triangle
• NSC2KE

Cites Work

• CFD-based analysis and two-level aerodynamic optimization on graphics processing units
• Flow simulation and shape optimization for aircraft design
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Non-cooperative games
• Assembly of finite element methods on graphics processors
• Applied Shape Optimization for Fluids
• `` Direct Search Solution of Numerical and Statistical Problems
• A Simplex Method for Function Minimization
• Combining game theory and genetic algorithms with application to DDM-nozzle optimization problems.
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