Title :
A new efficient and useful robust optimization approach - design for multi-objective six sigma
Author :
Shimoyama, Koji ; Oyama, Akira ; Fujii, Kozo
Author_Institution :
Dept. of Aeronaut. & Astronaut., Univ. of Tokyo, Kanagawa
Abstract :
An efficient and useful robust optimization approach, design for multi-objective six sigma (DFMOSS), has been developed. The DFMOSS couples the ideas of design for six sigma (DFSS) and multi-objective genetic algorithm (MOGA) to solve drawbacks of DFSS; DFMOSS obtains trade-off solutions between optimality and robustness in one optimization. In addition, it does not need careful parameter tuning. Robust optimizations of a test function and welded beam design problem demonstrated that DFMOSS is more effective and more useful than DFSS
Keywords :
design engineering; genetic algorithms; six sigma (quality); welding; design for multiobjective six sigma; multiobjective genetic algorithm; optimization; test function; welded beam design problem; Algorithm design and analysis; Design engineering; Design optimization; Genetic algorithms; Process design; Robust stability; Robustness; Six sigma; Uncertainty; Welding;
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Conference_Location :
Edinburgh, Scotland
Print_ISBN :
0-7803-9363-5
DOI :
10.1109/CEC.2005.1554785
