REFERENCES
- Rao , S. S. 1992 . Reliability-Based Design New York : McGraw-Hill .
- Lee , T. W. and Kwak , B. M. 1987–1988 . A Reliability-Based Optimal Design Using Advanced First Order Second Moment Method . Mech. Struct. Mach. , 15 ( 4 ) : 523 – 542 .
- Kim , D. W. and Kwak , B. M. 1996 . Reliability-Based Shape Optimization of Two-Dimensional Elastic Problems Using BEM . Comput. Struct. , 60 ( 5 ) : 743 – 750 .
- Thoft-Christensen , P. 1991 . “ On Reliability-Based Structural Optimization ” . In Reliability and Optimization of Structural Systems ’90 Edited by: Der Kiureghian , A. and Thoft-Christensen , P. 387 – 402 . Berlin : Springer-Verlag .
- Wu , Y.-T. 1994 . Computational Methods for Efficient Structural Reliability and Reliability Sensitivity Analysis . AIAAJ , 32 : 1717 – 1723 .
- Ben-Haim , Y. 1997 . Robust Reliability of Structures . Adv. Appl. Mech. , 33 : 1 – 41 .
- Ben-Haim , Y. 1999 . Design Certification with Information-Gap Uncertainty . Struct. Saf. , 21 : 269 – 289 .
- Haug , E. J. , Wang , J. Y. and Wu , J. K. 1993 . Dexterous Workspaces of Manipulators. II. Computational Methods . Mech. Struct. Mach. , 21 ( 4 ) : 471 – 506 .
- Yang , F. C. and Haug , E. J. 1994 . Numerical Analysis of the Kinematic Working Capability of Mechanisms . J. Mech. Des. , 116 : 111 – 118 .
- Haug , E. J. , Luh , C. M. , Adkins , F. A. and Wang , J. Y. 1996 . Numerical Algorithms for Mapping Boundaries of Manipulator Workspaces . J. Mech. Des. , 118 : 228 – 234 .
- Allgower , E. L. and Georg , K. 1990 . Numerical Continuation Methods: An Introduction Berlin : Springer-Verlag .
- Kim , J. H. and Kwak , B. M. 1996 . Optimum Design of an Excavator Boom for Both Size and Shape . Proceedings of the KSME 1996 Fall Annual Meeting A . 1996 . pp. 993 – 998 .
- Elwkeil , O. A. and Arora , J. S. 1996 . Two Algorithms for Global Optimization of General NLP Problems . Int. J. Numer. Meth. Eng. , 39 : 3305 – 3325 .
- Boender , C. G. E. and Rinnooy Kan , A. H. G. 1987 . Bayesian Stopping Rules for Multistart Global Optimization Methods . Math. Program. , 37 : 59 – 80 .