@inproceedings{1df9c8e8ffeb468199a9a41a9c9a9cef,
title = "Mixed discrete synthetic approach for nonlinear design optimization",
abstract = "Engineering optimization problems often encounter mixed discrete design variables. Very few of the existing methods can obtain a globally optimal solution if the objective functions are non-convex and nondifferentiable. In this research, a mixed discrete synthetic approach (MDSA), taking the advantages of random search methods and deterministic search methods, is proposed. Specifically, the modified complex algorithm is combined with the hybrid negative sub-gradient search, coupled with an implicit enumeration checking-point technique, for the solution of mixed-discrete optimization problems. The MDSA is used for the optimal designs of a pressure vessel and a welded beam. The numerical results demonstrate the high reliability and effectiveness of the MDSA as an advanced global method in solving mixed-discrete engineering optimization problems.",
author = "Ying Xiong and Rao, {Singiresu S.}",
year = "2003",
doi = "10.2514/6.2003-1444",
language = "English (US)",
isbn = "9781624101007",
series = "44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference",
publisher = "American Institute of Aeronautics and Astronautics Inc.",
booktitle = "44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference",
note = "44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 2003 ; Conference date: 07-04-2003 Through 10-04-2003",
}