Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Dhanesh Padmanabhan"'
Publikováno v:
Management Science. 60:1511-1531
In this paper, we study the properties of a recently proposed class of semiparametric discrete choice models (referred to as the marginal distribution model (MDM)), by optimizing over a family of joint error distributions with prescribed marginal dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee8004cb4a62aac9f298043b38d64c7f
https://doi.org/10.1287/mnsc.2014.1906
https://doi.org/10.1287/mnsc.2014.1906
Autor:
Dhanesh Padmanabhan
Publikováno v:
Journal of Multi-Criteria Decision Analysis. 20:235-253
This paper presents a methodology for capturing complex trade-off relationships among objective functions and the underlying design principles through Pareto frontier representations, for Multi-Objective Optimization problems in complex engineering d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99902e45ffb7fc259e46147210ca94eb
https://doi.org/10.1002/mcda.1504
https://doi.org/10.1002/mcda.1504
Publikováno v:
Optimization and Engineering. 7:297-316
In this study, a Reliability-Based Optimization (RBO) methodology that uses Monte Carlo Simulation techniques, is presented. Typically, the First Order Reliability Method (FORM) is used in RBO for failure probability calculation and this is accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df21760f756af920289b4eb19c3ed4a7
https://doi.org/10.1007/s11081-006-9973-8
https://doi.org/10.1007/s11081-006-9973-8
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642172977
SEAL
SEAL
In this paper, couple of multi-objective optimization (MOO) techniques is implemented on a concept vehicle design problem. The Pareto Set Pursuing (PSP) method, proposed by Shan and Wang [1] is compared with a commercial version of the NSGA-II algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c13b2cc5ec4839d7b4a65afc3a02cec
https://doi.org/10.1007/978-3-642-17298-4_78
https://doi.org/10.1007/978-3-642-17298-4_78
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540709275
EMO
EMO
Uncertainties in design variables and problem parameters are inevitable and must be considered in an optimization task including multi-objective optimization, if reliable optimal solutions are to be found. Sampling techniques become computationally e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b07d6daf29cd42f797ce4d56917f9297
https://doi.org/10.1007/978-3-540-70928-2_9
https://doi.org/10.1007/978-3-540-70928-2_9
Autor:
Dhanesh Padmanabhan
Publikováno v:
46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference.
The main aim of the work is to obtain Pareto frontier approximations that not only are good fits to the Pareto solutions but are also capable of predicting the feasibility of performance targets accurately. A standard least squares technique need not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::776b036107de57c75b775b19e8b4cbd0
https://doi.org/10.2514/6.2005-1817
https://doi.org/10.2514/6.2005-1817
Publikováno v:
Fourth International Symposium on Uncertainty Modeling and Analysis, 2003. ISUMA 2003..
A reliability-based optimization (RBO) methodology, that uses Monte Carlo simulation (MCS) techniques, is presented. An initial design is obtained from an RBO based on first order reliability method (FORM). Limit state approximations are constructed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::406e2a083ac7bcf2fbe884b0b996acaa
https://doi.org/10.1109/isuma.2003.1236177
https://doi.org/10.1109/isuma.2003.1236177
Publikováno v:
44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference.
The work presented in the paper deals with the incorporation of Monte Carlo Simulation (MCS) techniques in Reliability Based Optimization (RBO). The main criteria used to select the suitable MCS techniques are the ease of obtaining analytical sensiti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::487943e3d45a85f7134d5ea7364a985a
https://doi.org/10.2514/6.2003-1503
https://doi.org/10.2514/6.2003-1503
Autor:
Dhanesh Padmanabhan, Stephen M. Batill
Publikováno v:
9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization.
A trust region based reliability analysis that performs a bounded Most Probable Point search is developed. This facilitates screening of non-critical failure modes as well as makes possible the use of Multidisciplinary Design Optimization (MDO) appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::612b4b0ac1d282b59d511117feb8131c
https://doi.org/10.2514/6.2002-5471
https://doi.org/10.2514/6.2002-5471
Publikováno v:
43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference.
This paper investigates the application and implementation of an aircraft engine turbine blade reliability-based optimization (RBO). The turbine blade is designed to be minimum volume while satisfying component reliability-based constraints on displa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc5bdab30edf6b7eca3ad1e65e11ea59
https://doi.org/10.2514/6.2002-1710
https://doi.org/10.2514/6.2002-1710