A methodology for multiobjective adaptive interactive design synthesis

A methodology to support design synthesis is described which features intelligent search and generation of alternatives. The search is directed by degree of closeness of multiple responses to their known ideal and imprecise designer preferences. A key objective of the methodology is to minimize the number of probes of the design model which is assumed to be in the form of a simulation program. A multiprocessor system design problem with features representing typical design synthesis problems is presented to demonstrate application.<<ETX>>

[1]  Stephen C.-Y. Lu,et al.  Hierarchical and interactive decision refinement methodology for engineering design , 1992 .

[2]  M. Hossein Safizadeh,et al.  Optimization in simulation: Current issues and the future outlook , 1990 .

[3]  R. Bharat Rao.  Inverse engineering: a machine learning approach to support engineering synthesis , 1993 .

[4]  Chelsea C. White,et al.  Multiobjective intelligent computer-aided design , 1991, IEEE Trans. Syst. Man Cybern..

[5]  Edward R. Clayton,et al.  A Goal Programming Approach to the Optimization of Multi response Simulation Models , 1982 .

[6]  Meir J. Rosenblatt,et al.  A COMBINED OPTIMIZATION AND SIMULATION APPROACH FOR DESIGNING AUTOMATED STORAGE/RETRIEVAL SYSTEMS , 1993 .

[7]  Douglas C. Montgomery,et al.  Multiple response surface methods in computer simulation , 1977 .

[8]  James J. Swain,et al.  Mathematical programming and the optimization of computer simulations , 1979 .

[9]  Aimo A. Törn,et al.  Global Optimization , 1999, Science.

[10]  David John Powell,et al.  Inter-GEN: A hybrid approach to engineering design optimization , 1990 .

[11]  J. S. Hunter,et al.  Statistics for experimenters : an introduction to design, data analysis, and model building , 1979 .

[12]  Lawrence Davis,et al.  Genetic Algorithms and Simulated Annealing , 1987 .

[13]  Loren Paul Rees,et al.  Solving Multiple Response Simulation Models Using Modified Response Surface Methodology Within A Lexicographic Goal Programming Framework , 1985 .