Approximate life cycle assessment of product concepts using a hybrid genetic algorithm and neural network approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4413 LNAI, Issue , 2007, Pages 258-268

  Seo, Kwang Kyu ^a   Kim, Won Ki ^a  

^a Sangmyung University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; ENVIRONMENTAL IMPACT ASSESSMENTS; GENETIC ALGORITHMS; NEURAL NETWORKS; SUSTAINABLE DEVELOPMENT;

FEATURE SUBSETS; LIFE CYCLE ASSESSMENT (LCA); SUSTAINABLE PRODUCT DEVELOPMENT;

LIFE CYCLE;

EID: 38549123355     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77368-9_26     Document Type: Conference Paper

References (19)

1. Curran, M.A.: Environmental Life-Cycle Assessment. McGraw-Hill, New York (1996)
2. Lee, K.C., Han, I., Kwon, Y.: Hybrid NN models for bankruptcy predictions. Decision Support Systems 18, 63-72 (1996)
3. Kim, K.-J., Han, I.: Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index. Expert Systems with Applications 19(2), 125-132 (2000)
4. Liang, T., Chandler, J., Hart, I.: Integrating statistical and inductive learning methods for knowledge acquisition. Expert Systems with Applications 1, 391-401 (1990)
5. Park, J.-H, Seo, K.-K.: Approximate Life Cycle Assessment of Product Concepts using Multiple Regression Analysis and Artificial Neural Networks. KSME International 17(12), 1969-1976 (2003)
6. Goedkoop, M., et al.: The Eco-indicator 99: A Damage Oriented Method for Life Cycle Impact Assessment. Pre consultants B.V., Netherlands (1999)
7. SimaPro 4 User's Manual. The Netherlands: PRe Consultants BV (1999)
8. Clark, T., Charter, M.: Eco-design Checklists for Electronic Manufacturers, Systems Integrators, and Suppliers, of Components and Subassemblies (1999), http://www.cfsd.org.uk
9. Rombouts, J.P.: LEADS-. A Knowledge-based System for Ranking DfE-Options. In: Proceedings of the 1998 IEEE International Symposium on Electronics and the Environment, pp. 287-291 (1998)
10. Hubka, V., Eder, W.E.: Engineering Design: General Procedural Model of Engineering Design. Heurista, Zurich, Switzerland (1992)
11. Eisenhard, J.: Product Descriptors for Early Product Development: an Interface between Environmental Expert and Designers. MS thesis of Science in Mechanical Engineering, MIT (2000)
12. Sousa, I., Eisenhard, J., Wallace, D.R.: Approximate Life-Cycle Assessment of Product Concepts using Learning Systems. Journal of Industrial Ecology 4(4), 61-81 (2001)
13. Park, J.-H., Seo, K.-K., Wallace, D.R.: Approximate Life Cycle Assessment of Classified Products using Artificial Neural Network and Statistical Analysis in Conceptual Product Design. In: Second Intl. Symposium on Environmentally Conscious Design and In-verse Manufacturing, pp. 321-326 (2001)
14. Seo, K.-K, Min, S.-H., Yoo, H.-W.: Artificial Neural Network based Life Cycle As-sessment Model of Product Concepts using Product Classification Method. In: Gervasi, O., Gavrilova, M., Kumar, V., Laganà, A., Lee, H.P., Mun, Y., Taniar, D., Tan, C.J.K. (eds.) ICCSA 2005. LNCS, vol. 3483, pp. 458-466. Springer, Heidelberg (2005)
15. Goldberg, D.E.: Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading, MA (1989)
16. Adeli, H., Hung, S.: Machine learning: Neural networks, genetic algorithms, and fuzzy systems. Wiley, New York (1995)
17. Davis, L.: Genetic algorithms and financial applications. In: Deboeck, G.J. (ed.) Trading on the edge, pp. 133-147. Wiley, New York (1994)
18. Wong, F., Tan, C.: Hybrid neural, genetic, and fuzzy systems. In: Deboeck, G.J. (ed.) Trading on the edge, pp. 243-261. Wiley, New York (1994)
19. Cooper, D.R., Emory, C.W.: Business research methods. Irwin, Chicago, IL (1995)