Aerodynamic Optimization Via Multi-objective Micro-genetic Algorithm With Range Adaptation,knowledge-based Reinitialization, Crowding And E-dominance

摘要

In this study, an optimization of the airfoil of a sailplane is carried out by a recently developed multi-objective genetic algorithm based on microevolution, containing crowding, range adaptation, knowledge-based reinitialization and f.-dominance. Its efficiency was tested on a set of test problems. The results are encouraging, suggesting that very small populations can be used effectively to solve real-world multi-objective optimization problems in many cases of interest.