Computational intelligence techniques for new product design
Using computational intelligence in product design is a fast-growing and promising research area in computer sciences and industrial engineering. These assembled papers from the CIMA 2010 workshop cover the full spectrum of topics in this exciting field
| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Heidelberg, Germany ; New York :
Springer ,
c2012
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| Series: | Studies in computational intelligence
v. 403 |
| Subjects: |
Table of Contents:
- 1. Integrated product design
- 2. Computational intelligence technologies for product design
- 3. Determination of importance of customer requirements using the fuzzy AHP method
- 4. An enhanced fuzzy AHP method with extend analys is for determining importance of customer requirements
- 5. Development of product design models using classical evolutionary programming
- 6. Development of product design models using a fuzzy regression based genetic programming
- 7. Generalized fuzzy least square regression for generating customer statisfaction model
- 8. An enhanced neuro-fuzzy approach for generating customer statisfaction models
- 9. Optimization of customer statisfaction using an improved simulation annealing
- 10. An enhanced algorithm integrated with orthogonal design
- 11. A nonliner fuzzy regression for developing manufacturing process models
- 12. Rule extraction from experimental data for manufacturing process design
- 3. Conclusion and future work