Multi-objective design method based on evolution game and its application for suspension
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Publication:381933
DOI10.1007/s00158-012-0815-3zbMath1274.90366OpenAlexW1996434729MaRDI QIDQ381933
Ye Ye, Neng-Gang Xie, Rui Meng, Lu Wang, Yu-Wan Cen
Publication date: 15 November 2013
Published in: Structural and Multidisciplinary Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00158-012-0815-3
Multi-objective and goal programming (90C29) Applications of game theory (91A80) Evolutionary games (91A22)
Related Items (4)
Material and shape optimization of bi-directional functionally graded plates by GIGA and an improved multi-objective particle swarm optimization algorithm ⋮ Multiobjective game method based on self-adaptive space division of design variables and its application to vehicle suspension ⋮ Bridging game theory and the knapsack problem: a theoretical formulation ⋮ Multi-objective optimization of the suspension system parameters of a full vehicle model
Cites Work
- A cooperative fuzzy game theoretic approach to multiple objective design optimization
- Learning the optimum as a Nash equilibrium
- Multi-objective discrete optimization of laminated structures.
- Fuzzy logic control of seat vibrations of a non-linear full vehicle model
- Combining game theory and genetic algorithms with application to DDM-nozzle optimization problems.
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