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16.888 / ESD.77 Multidisciplinary System Design Optimization, Spring 2004

dc.contributor.authorWillcox, Karenen_US
dc.contributor.authorde Weck, Olivieren_US
dc.coverage.temporalSpring 2004en_US
dc.date.issued2004-06
dc.identifier16.888-Spring2004
dc.identifierlocal: 16.888
dc.identifierlocal: ESD.77
dc.identifierlocal: IMSCP-MD5-e4062e04695531d4e58bc6e80c00b909
dc.identifier.urihttp://hdl.handle.net/1721.1/68163
dc.description.abstractThis course is mainly focused on the quantitative aspects of design and presents a unifying framework called "Multidisciplinary System Design Optimization" (MSDO). The objective of the course is to present tools and methodologies for performing system optimization in a multidisciplinary design context, focusing on three aspects of the problem: (i) The multidisciplinary character of engineering systems, (ii) design of these complex systems, and (iii) tools for optimization. There is a version of this course (16.60s) offered through the MIT Professional Institute, targeted at professional engineers.en_US
dc.languageen-USen_US
dc.rights.uriUsage Restrictions: This site (c) Massachusetts Institute of Technology 2011. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.en_US
dc.subject16.888en_US
dc.subjectESD.77en_US
dc.subjectoptimizationen_US
dc.subjectmultidisciplinary design optimizationen_US
dc.subjectMDOen_US
dc.subjectsubsystem identificationen_US
dc.subjectinterface designen_US
dc.subjectlinear constrained optimization fomulationen_US
dc.subjectnon-linear constrained optimization formulationen_US
dc.subjectscalar optimizationen_US
dc.subjectvector optimizationen_US
dc.subjectsystems engineeringen_US
dc.subjectcomplex systemsen_US
dc.subjectheuristic search methodsen_US
dc.subjecttabu searchen_US
dc.subjectsimulated annealingen_US
dc.subjectgenertic algorithmsen_US
dc.subjectsensitivityen_US
dc.subjecttradeoff analysisen_US
dc.subjectgoal programmingen_US
dc.subjectisoperformanceen_US
dc.subjectpareto optimalityen_US
dc.subjectflowcharten_US
dc.subjectdesign vectoren_US
dc.subjectsimulation modelen_US
dc.subjectobjective vectoren_US
dc.subjectinputen_US
dc.subjectdisciplineen_US
dc.subjectoutputen_US
dc.subjectcouplingen_US
dc.subjectmultiobjective optimizationen_US
dc.subjectoptimization algorithmsen_US
dc.subjecttradespace explorationen_US
dc.subjectnumerical techniquesen_US
dc.subjectdirect methodsen_US
dc.subjectpenalty methodsen_US
dc.subjectheuristic techniquesen_US
dc.subjectSAen_US
dc.subjectGAen_US
dc.subjectapproximation methodsen_US
dc.subjectsensitivity analysisen_US
dc.subjectisoperformaceen_US
dc.subjectoutput evaluationen_US
dc.subjectMSDO frameworken_US
dc.subject16.888en_US
dc.subjectESD.77en_US
dc.title16.888 / ESD.77 Multidisciplinary System Design Optimization, Spring 2004en_US
dc.title.alternativeMultidisciplinary System Design Optimizationen_US


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