A new methodology for multi-objective multidisciplinary design optimization problems based on game theory.
Mi XiaoXinyu ShaoLiang GaoZhen LuoPublished in: Expert Syst. Appl. (2015)
Keyphrases
- game theory
- multi objective
- optimization problems
- evolutionary algorithm
- multidisciplinary design
- game theoretic
- multi objective optimization
- objective function
- nsga ii
- nash equilibrium
- optimization algorithm
- cooperative
- multi agent systems
- multi objective optimization problems
- mechanism design
- statistical physics
- multi agent learning
- particle swarm optimization
- metaheuristic
- multiple objectives
- decision theory
- resource allocation
- cost function
- nash equilibria
- genetic algorithm
- fictitious play
- cooperative game theory
- test problems
- genetic operators
- differential evolution
- financial crisis
- decision making
- pareto optimal
- combinatorial optimization
- evolutionary game theory
- search space
- optimal solution
- fitness function