论文信息 - Advances in Hierarchical, Parallel Evolutionary Algorithms for Aerodynamic Shape Optimisation

Advances in Hierarchical, Parallel Evolutionary Algorithms for Aerodynamic Shape Optimisation

The paper presents the recent developments in Hierarchical Parallel Evolutionary Algorithms to speed up optimisation of aerodynamic shapes. One is the implementation of different models in different layers of a Parallel Genetic Algorithm. The other is Asynchronous Hierarchical Evolution Strategy. These methods are employed to reconstruct a one-dimensional transonic nozzle and a two-dimensional aerofoil shape. Considerable speed up is achieved as a result.

Jacques Periaux | M. Sefrioui | Eric J. Whitney | Karkenahalli Srinivas

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