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A New Efficient and Useful Robust Optimization Approach – Design for Multi-Objective Six Sigma
| Content Provider | CiteSeerX |
|---|---|
| Author | Shimoyama, Koji |
| Abstract | 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. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Multi-objective Six Sigma Useful Robust Optimization Approach Design New Efficient Careful Parameter Beam Design Problem Trade-off Solution Robust Optimization Test Function Useful Robust Optimization Approach Multi-objective Genetic Algorithm |
| Content Type | Text |
| Resource Type | Article |
