A review of two industrial deployments of multi-criteria decision-making systems at general electric

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, MCDM 2007

Volumn , Issue , 2007, Pages 136-145

  Subbu, Raj ^a   Bonissone, Piero ^a   Bollapragada, Srinivas ^a   Chalermkraivuth, Kete ^a   Eklund, Neil ^a   Iyer, Naresh ^a   Shah, Rasik ^a   Xue, Feng ^a   Yan, Weizhong ^a  

^a GE GLOBAL RESEARCH   (United States)

Author keywords

Decision making; Evolutionary algorithms; Financial portfolio; Hybrid optimization; Industrial control; Multiple objectives; Neural networks; Pareto frontier

Indexed keywords

ASSET MANAGEMENT; ECONOMIC ANALYSIS; EVOLUTIONARY ALGORITHMS; FINANCE; NEURAL NETWORKS; PARETO PRINCIPLE; POWER PLANTS; REAL TIME CONTROL;

FINANCIAL PORTFOLIO; GENERAL ELECTRIC (CO); HYBRID OPTIMIZATION; INDUSTRIAL CONTROL; MULTIPLE OBJECTIVES;

DECISION MAKING;

EID: 34548756244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MCDM.2007.369428     Document Type: Conference Paper

References (40)

1. R. Subbu, P. Bonissone, N. Eklund, S. Bollapragada, and K. Chalermkraivuth, "Multiobjective Financial Portfolio Design: A Hybrid Evolutionary Approach," Proceedings of the 2005 IEEE International Congress on Evolutionary Computation, Sep. 2-5, 2005, Edinburgh, UK.
2. R. Subbu, P. Bonissone, N. Eklund, W. Yan, N. Iyer, F. Xue, and R. Shah, "Management of Complex Dynamic Systems based on Model-predictive Multi-objective Optimization," Proceedings of the 2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, July 12-14, 2006. La Coruña, Spain.
3. P. Bonissone, R. Subbu, N. Eklund, and T. Kiehl, "Evolutionary algorithms + domain knowledge = Real-world evolutionary computation." IEEE Transactions on Evolutionary Computation, 10(3), 2006.
4. V. Tarascio, Pareto's Methodological Approach to Economics, University of North Carolina Press, Chapel Hill, VA, 1968.
5. K. M. Miettinen, Nonlinear Multiobjective Optimization, Kluwer Academic, Boston, MA, 1998.
6. J. D. Schaffer, Multiple Objective Optimization with Vector Evaluated Genetic Algorithms, PhD thesis, Vanderbilt Univ., Nashville, TN, 1984.
7. C. A. Coello Coello, D. A. Van Veldhuizen, and G. B. Lamont, "Evolutionary Algorithm MOP Approaches," Evolutionary Algorithms for Solving Multi-Objective Problems, pp. 59-99. Kluwer Acad., 2002.
8. E. Zitzler and L. Thiele, "Multiobjective Evolutionary Algorithms: A Comparitive Case Study and the Strength Pareto Approach," IEEE Transactions on Evolutionary Computation, 3(4), pp. 257-271, 1999.
9. H. Markowitz, "Portfolio Selection," J. of Finance, 7, pp. 77-91, 1952.
10. K. C. Chalermkraivuth, S. Bollapragada, M. C. Clark, J. Deaton, L. Kiaer, J. P. Murdzek, W. Neeves. B. J. Scholz, and D. Toledano, "GE Asset Management, Genworth Financial, and GE Insurance Implement a Novel Sequential Linear Programming Algorithm for Portfolio Optimization," INFORMS Interfaces, September 2005.
11. S. Amone, A. Loraschi, and A. Tettamanzi, "A Genetic Approach to Portfolio Selection," Neural Network World, Int. Jour. Neural and Mass-Parallel Computing and Inform. Syst. 3(6), pp. 597-604, 1993.
12. T.-J. Chang, N. Meade, J. E. Beasley, and Y. M. Sharaiha, "Heuristics for Cardinality Constrained Portfolio Optimization," Computers and Operations Research, 27(13), pp. 1271-1302, 2000.
13. M. Ehrgott, K. Klamroth, and C. Schwehm, "An MCDM Approach to Portfolio Optimization," European Journal of Operational Research. 155, pp. 752-770, 2004.
14. F. Streichert, H. Ulmer, and A. Zell, "Evaluating a Hybrid Encoding and Three Crossover Operators on the Constrained Portfolio Selection Problem," In Proc. IEEE International Conference on Evolutionary Computation, pp. 932-939, 2004.
15. K. Doerner, W. J. Gutjahr, R. F. Hartl, C. Strauss, and C. Stummer, "Pareto Ant Colony Optimization: A Metaheurstic Approach to Multiobjective Portfolio Selection", Annals of Operations Research, 131(1-4), pp. 79-99, 2004.
16. F. Schlottmann and D. Seese, "A Hybrid Heuristic Approach to Discrete Multi-objective Optimization of Credit Portfolios", Computational Statistics and Data Analysis, 47(2), pp. 373-399, 2004.
17. nd edition, Prentice Hall, 1998.
18. G. Cybenko. "Approximation by superpositions of a sigmoidal function", Mathematics of Control, Signals, and Systems, 2:303-314, 1989.
19. K. S. Narendra and K. Parthasarathy. "Identification and Control of Dynamical Systems Using Neural Networks", IEEE Transactions on Neural Networks, 1(1):4-27, 1990.
20. D. W. Clarke. "Application of Generalized Predictive Control to Industrial Processes", IEEE Control Systems Magazine, 8(2):49-55, 1988.
21. A. Draeger, S. Engell, and H. Ranke, "Model Predictive Control Using Neural Networks", IEEE Control Systems Magazine, 15(5):61-66, 1995.
22. D. Soloway and P. J. Haley. "Neural Generalized Predictive Control: A Newton-Raphson Implementation", Proceedings of the 1996 IEEE International Symposium on Intelligent Control, pp 277-282, 1996.
23. G. Prasad, E. Swidenbank, and B. W. Hogg. "A Neural Net Model-based Multivariable Long-range Predictive Control Strategy Applied in Thermal Power Plant Control", IEEE Transactions on Energy Conversion, 13(2): 176-182, 1998.
24. S. Piche, B. Sayyar-Rodsari, D. Johnson, and M. Gerules, "Nonlinear Model Predictive Control Using Neural Networks", IEEE Control Systems Magazine, 20(3):53-62, 2000.
25. Y-H. Pao, "Process Monitoring and Optimization for Power Systems Applications". Proceedings of the 1994 IEEE World Congress on Computational Intelligence, pp 3697-3702, 1994.
26. R. Cass and B. Radl. "Adaptive Process Optimization Using Functionallink Networks and Evolutionary Optimization", Control Engineering Practice, 4(11):1579-1584, 1996.
27. C. L. Karr. "A Synergistic Architecture for Adaptive, Intelligent Control System Development", Proceedings of the 2000 IEEE Knowledge-Based Intelligent Engineering Systems and Allied Technologies, pp 2986-2991, 2000.
28. H. Ghezelayagh and K. Y. Lee. "Intelligent Predictive Control of a Power Plant with Evolutionary Programming Optimizer and Neuro-Fuzzy Identifier". Proceedings of the 2002 IEEE Congress on Evolutionary Computation, pp 1308-1313, 2002.
29. S. Fan, X. Wang, and Y. Zhou. "Neural Network based Predictive Control for Active Power Filter", Proceedings of the 2004 IEEE Annual Conference of the Industrial Electronics Society, pp 822-826, 2004.
30. N. Chaiyaratana and A. M. S. Zalzala. "Hybridisation of Neural Networks and Genetic Algorithms for Time-Optimal Control", Proceedings of the 1999 IEEE Congress on Evolutionary Computation, pp 389-396, 1999.
31. L-H. Chen and C-H. Chiang. "An Intelligent Control System Based on Multiobjective Genetic Algorithms and Fuzzy Neural Network", Proceedings of the 2002 IEEE International Conference on Systems, Man, and Cybernetics, 2002.
32. K. Laabidi and F. Bouani. "Genetic Algorithms for Multiobjective Predictive Control", Proceedings of the 2004 IEEE International Symposium on Control, Communications, and Signal Processing, pp 149-152, 2004.
33. G. Fong and O. A. Vasicek, "A Multidimensional Framework for Risk Analysis," Financial Analysts Journal, July/August 1997.
34. J. C. Hull, Options, Futures & Other Derivatives, Prentice Hall, 2000.
35. K. C. Chalermkraivuth, 2004. Analytical Approaches for Multifactor Risk Measurements, GE Tech. Inform. 2004GRC184. Niskayuna. NY.
36. D. Cvetkovic and I. C. Parmee, "Preferences and their Application in Evolutionary Multiobjective Optimisation", IEEE Transactions on Evolutionary Computation, 6(1), pp. 42-57, 2002.
37. F. Xue, R. Subbu, and P. Bonissone, "Locally Weighted Fusion of Multiple Predictive Models," Proceedings of the 2006 IEEE World Congress on Computational Intelligence, July 16-21, 2006, Vancouver, BC, Canada.
38. Y. Jin, "A Comprehensive Survey of Fitness Approximation in Evolutionary Computation," Soft Computing, 9(1):3-12, 2005.
39. A. Patterson, P. Bonissone, and M. Pavese, "Six Sigma Quality Applied Throughout the Lifecycle of an Automated Decision System", Journal of Quality and Reliability International, 21:275-292, 2005.
40. P. Bonissone, "Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff, and Interaction Visualization Processes", Proceedings of the First IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM 2007). April 1-5, 2007.