Name
Abstract | ||
|---|---|---|
A novel multidisciplinary design optimization based on Game Theory is proposed in this paper. Game Theory studies strategic situations, and Nash equilibrium is one of the best important concepts of it. Nash equilibrium theory is applied to model the relations among the design players, the design variable and object have been regarded as the game decision-space and game side; the response of system has been looked as the payoff. The method allows that each discipline adopts its own design optimization technique, and need not systematic coordination. So it reduces the calculation task and improves operational efficiency. At last an example has been chosen to test the novel method by using iSIGHT: a gear reducer box design problem. The result shows that the new method is easy to be realized on computer and gets a better optimized result than collaborative optimization (CO) method. The new method is feasible. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-23220-6_18 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Game Theory,Multidisciplinary Design Optimization,Collaborative Optimization | Mathematical optimization,iSight,Simulation,Computer science,Dummy variable,Game theory,Reducer,Nash equilibrium,Multidisciplinary design optimization,Operational efficiency,Stochastic game | Conference |
Volume | Issue | ISSN |
225 | PART 2 | 1865-0929 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingguo Wen | 1 | 0 | 0.34 |
| Song Bao-wei | 2 | 16 | 5.95 |