Journal
ADVANCES IN ENGINEERING SOFTWARE
Volume 40, Issue 6, Pages 419-430Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.advengsoft.2008.07.002
Keywords
Multi-objective; Optimization; Micro-genetic algorithm; Adaptation
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Funding
- Ministry of Education and Sports of the Czech Republic [MSM0001066901]
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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 epsilon-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. (C) 2008 Elsevier Ltd. All rights reserved.
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