Constraints handling in Nash/adjoint optimization methods for multi-objective aerodynamic design

DOI10.1016/j.cma.2013.12.006zbMath1296.74080OpenAlexW2071335613WikidataQ110224634 ScholiaQ110224634MaRDI QIDQ460808

Jun Dong, Zhili Tang, Jacques Periaux

Publication date: 9 October 2014

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.2013.12.006

zbMATH Keywords

multi-objective optimizationNash equilibriumadjoint methodsPareto frontconstraint handlingaerodynamic design

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Cooperative games (91A12) Applications of game theory (91A80) Optimization of other properties in solid mechanics (74P10)

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Cites Work

• Unnamed Item
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• Multi-objective optimization strategies using adjoint method and game theory in aerodynamics
• Uncertainty based robust optimization method for drag minimization problems in aerodynamics
• An effective co-evolutionary differential evolution for constrained optimization
• Numerical solutions to coupled-constraint (or generalised Nash) equilibrium problems
• Distributed optimization using virtual and real game strategies for multi-criterion aerodynamic design
• Aerodynamic design via control theory
• Generalized Nash games and quasi-variational inequalities
• An efficient constraint handling method for genetic algorithms
• Quasi-variational inequalities, generalized Nash equilibria, and multi-leader-follower games
• Multicriterion aerodynamic shape design optimization and inverse problems using control theory and Nash games
• Nash-optimization enhanced distributed model predictive control applied to the Shell benchmark problem
• Non-cooperative games
• Solving multi-leader–common-follower games
• Using EPECs to Model Bilevel Games in Restructured Electricity Markets with Locational Prices
• Shadow Prices for Measures of Effectiveness, II: General Model
• Constrained Games: The Impact of the Attitude to Adversary's Constraints
• Multidisciplinary topology optimization solved as a Nash game
• A Social Equilibrium Existence Theorem*
• Generalized Nash equilibrium problems

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