Multi-objective optimization strategies using adjoint method and game theory in aerodynamics

DOI10.1007/s10409-006-0014-9zbMath1202.76120OpenAlexW2096955741MaRDI QIDQ612287

Zhili Tang

Publication date: 28 December 2010

Published in: Acta Mechanica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10409-006-0014-9

zbMATH Keywords

multi-objective optimizationPareto frontadjoint methodStackelberg gameNash game

Mathematics Subject Classification ID

Applications of game theory (91A80) Flow control and optimization for compressible fluids and gas dynamics (76N25)

Related Items (6)

Virtual Stackelberg game coupled with the adjoint method for aerodynamic shape optimization ⋮ Single/two-objective aerodynamic shape optimization by a Stackelberg/adjoint method ⋮ Constraints handling in Nash/adjoint optimization methods for multi-objective aerodynamic design ⋮ Uncertainty based robust optimization method for drag minimization problems in aerodynamics ⋮ A new Nash optimization method based on alternate elitist information exchange for multi-objective aerodynamic shape design ⋮ Distributed optimization using virtual and real game strategies for multi-criterion aerodynamic design

Cites Work

• Incentive strategies and equilibria for dynamic games with delayed information
• Aerodynamic design via control theory
• Multiobjective programming and planning
• Dynamic noncooperative game theory
• A cooperative incentive equilibrium for a resource management problem
• Non-cooperative games
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