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

There are currently three different game strategies originated in economics: (1) Cooperative games (Pareto front), (2) Competitive games (Nash game) and (3) Hierarchical games (Stackelberg game). Each game achieves different equilibria with different performance, and their players play different rol...

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Bibliographic Details
Published in:Acta mechanica Sinica Vol. 22; no. 4; pp. 307 - 314
Main Author: Tang, Zhili
Format: Journal Article
Language:English
Published: 01.08.2006
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ISSN:0567-7718, 1614-3116
Online Access:Get full text
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Summary:There are currently three different game strategies originated in economics: (1) Cooperative games (Pareto front), (2) Competitive games (Nash game) and (3) Hierarchical games (Stackelberg game). Each game achieves different equilibria with different performance, and their players play different roles in the games. Here, we introduced game concept into aerodynamic design, and combined it with adjoint method to solve multi- criteria aerodynamic optimization problems. The performance distinction of the equilibria of these three game strategies was investigated by numerical experiments. We computed Pareto front, Nash and Stackelberg equilibria of the same optimization problem with two conflicting and hierarchical targets under different parameterizations by using the deterministic optimization method. The numerical results show clearly that all the equilibria solutions are inferior to the Pareto front. Non-dominated Pareto front solutions are obtained, however the CPU cost to capture a set of solutions makes the Pareto front an expensive tool to the designer.
Bibliography:Stackelberg game
11-2063/O3
Multi-objective optimization. Pareto front
Multi-objective optimization. Pareto front ; Nash game ; Stackelberg game ; Adjoint method
Nash game
Adjoint method
V211
ObjectType-Article-2
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0567-7718
1614-3116
DOI:10.1007/s10409-006-0014-9