Decentralized multi-point optimization algorithms for multi-airfoil design in aerodynamics
Jiang Wang · Journal of Astronautics · 2003
A multi point evolutionary optimization method coupled Genetic Algorithms (GAs) and Game Theory (GT) for high lift multi airfoil systems in Aerospace Engineering is presented.GAs are IT based evolutionary methods for mimicking natural adaptation systems in the computer.Due to large dimension global optimization problems and the increasing importance of low cost distributed parallel environments it is a natural idea to replace a global optimization by decentralized local sub optimizations using GT,which introduces the notion of games associated to an optimization problem.The combined Nash/GAs and Stackelberg/GAs optimization methods are developed and used for high lift multi airfoil design optimization problems,and numerical results are obtained.