Multidisciplinary Optimization of Submarine Performance Using Genetic Algorithms
51st, AIAA/ASME/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference ; 2010 ; Orlando, FL
01.01.2010
16 pages
Aufsatz (Konferenz)
Englisch
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
A Genetic Algorithms Based Approach for Multidisciplinary Multiobjective Collaborative Optimization
British Library Conference Proceedings | 2006
|Genetic Algorithms for Mixed Discrete/Continuous Optimization in Multidisciplinary Design
British Library Conference Proceedings | 1998
|