Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
566384 | Advances in Engineering Software | 2009 | 12 Pages |
Abstract
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 ε-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.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
András Szőllős, Miroslav Šmíd, Jaroslav Hájek,