... quantification, optimal control of uncertain systems, and robust/reliable optimal design of uncertain systems are specifically covered. Specifically, this work presents the new framework in both a nonlinear programming (NLP) and directed search (DS) optimization setting. The authors have found...

... product families from the optimization standpoint. The CP 3 model yields a mixed integer nonlinear programming problem, which is carefully reformulated to allow for the application of continuous optimization using a novel Platform Segregating Mapping Function (PSMF). The PSMF can be employed using any...

... approach. 11 12 2008 21 07 2010 04 10 2010 04 10 2010 design engineering hybrid power systems nonlinear programming photovoltaic power systems wind power plants In many regions of the world, the topography of the landscape prevents connectivity to the electrical grid...

... integer programming nonlinear programming product design tree searching global optimization decomposition quasiseparable nonconvex MINLP branch and bound product family Many important optimization problems in engineering design, computational chemistry, molecular biology...

... the optimization process. The optimization problem is solved by the MATLAB constrained nonlinear programming algorithm. cantilevers finite element analysis flexible structures nonlinear programming structural engineering Compliant mechanisms are synthesized for specific purposes. Design objectives...

... of the proposed geometric modeling and synthesis procedures is verified by the demonstrated examples. 03 04 2008 26 08 2008 11 12 2008 curve fitting design engineering nonlinear programming shapes (structures) topology Recoverable deformation is utilized to transfer or transform...

...-9 , 9 ( 5 ), pp. 484 – 494 . 09 05 2006 27 05 2007 08 08 2008 nonlinear programming reliability theory statistical distributions Products must be reliable, robust, and safe against uncertainties. To this end, nondeterministic design approaches have been...

... of the control parameters of wide curves corresponding to all connections in the topology. Problem-dependent objectives are optimized and practical constraints are imposed during the optimization process. The optimization problem is solved by the constrained nonlinear programing algorithm in the MATLAB...

... is proposed in this work for solving multistage decision-making problems in mixed-discrete design space with a fuzzy goal and a fuzzy state imposed on each stage. The method can also be extended to solve general mixed-discrete fuzzy nonlinear programming problems if their corresponding crisp problems can...

...; revised Mar. 2000. Associate Technical Editor: J. Cagan. 01 Jun 1999 01 Mar 2000 design engineering optimisation decision theory approximation theory nonlinear programming Robust Design Multiobjective Optimization Efficient Solutions Utility Function Decision Analysis...

... design engineering optimisation nonlinear programming Traditional design processes typically address design of a single product. However, manufacturing firms increasingly make several variations of a product, each directed to a different market niche. There is even some evidence to suggest...

... in the Journal of Mechanical Design. Manuscript received Oct. 1999. Associate Editor: A. Diaz. 01 Oct 1999 search problems fuzzy logic optimisation nonlinear programming adaptive systems Optimization Algorithms Nonlinear Programming Simplex Fuzzy Logic Fuzzy logic 1...

...] Contributed by the Design Automation Committee for publication in the JOURNAL OF MECHANICAL DESIGN . Manuscript received Sept. 1999. Associate Technical Editor: A. Diaz. 01 Sept 1999 design engineering structural engineering optimisation iterative methods nonlinear programming...