... systems are presented. Finally, the effectiveness of the FCM, applications to 3D problems, and local optimum phenomena are discussed. 12 01 2011 01 09 2011 18 10 2011 18 10 2011 design engineering gradient methods interpolation octrees optimisation packaging polynomials...

... gradient methods in deterministic optimization to handle hard equalities in RBDO. The efficiency and accuracy of the first- and second-order predictions in reduced gradient methods are compared. Results show that the first-order prediction is more efficient when realizations of random variables...

... methods. Several examples are used to demonstrate the proposed methodology. 11 08 2009 11 03 2010 20 05 2010 20 05 2010 design engineering gradient methods Monte Carlo methods optimisation probability random processes reliability theory sampling methods...

... function is presented and several numerical problems are considered to check the validity and usefulness of the developed formulation. 19 03 2008 24 10 2008 06 01 2009 beams (structures) deformation elasticity gradient methods plates (structures) springs (mechanical...

... to avoid the suboptimal solutions of multistage methods and enable generalized commonality for product families of practical size. gradient methods product design 18 07 2007 19 10 2007 19 05 2008 Decomposition algorithm for optimizing the joint product family problem...

... gradient methods Multiattribute decision making (MADM) involves selecting the “most preferred” design from a set of feasible design alternatives, where conflicting design attributes (or objectives) must be traded off 1 2 . MADM problems can be broadly classified into “deterministic selection...

.... Compared with the corresponding results generated by other schemes, the tabu-gradient search rendered the most optimal solutions of all. 31 08 2004 29 11 2004 optimisation search problems gradient methods mechanical engineering design The use of optimum synthesis methods...