Applications of multi-objective evolutionary algorithms in economics and finance: A survey

2007 IEEE Congress on Evolutionary Computation, CEC 2007

Volumn , Issue , 2007, Pages 532-539

  Tapia, Ma Guadalupe Castillo ^a   Coello, Carlos A Coello ^b  

^a UNIVERSIDAD AUTÓNOMA METROPOLITANA AZCAPOTZALCO   (Mexico)

^b DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS; POTENTIAL PATHS;

ADMINISTRATIVE DATA PROCESSING; ECONOMICS; EVOLUTIONARY ALGORITHMS;

FINANCE;

EID: 38749140362     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2007.4424516     Document Type: Conference Paper

References (50)

1. C. A. Coello Coello and G. B. Lamont, Eds., Applications of Multi-Objective Evolutionary Algorithms. Singapore: World Scientific, 2004, iSBN 981-256-106-4.
2. F. Schlottmann and D. Seese, "Modern heuristics for finance problems: A survey of selected methods and applications," in Handbook of Computational and Numerical Methods in Finance, S. Rachev, Ed. Berlin: Birkhäuser, 2004, pp. 331-360.
3. - "Financial Applications of Multi-Objective Evolutionary Algorithms: Recent Developments and Future Research Directions," in Applications of Multi-Objective Evolutionary Algorithms, C. A. Coello Coello and G. B. Lamont, Eds. Singapore: World Scientific, 2004, pp. 627-652.
4. S.-H. Chen and T.-W. Kuo, "Evolutionary computation in economics and finance: A bibliography," in Evolutionary Computation in Economics and Finance. Heidelberg: Physica-Verlag, 2002, pp. 419-455, iSBN 3-7908-1476-8.
5. S.-H. Chen, Ed., Evolutionary Computation in Economics and Finance. Heidelberg: Physica-Verlag, 2002, iSBN 3-7908-1476-8.
6. H. Markowitz, "Portfolio selection," Journal of Finance, vol. 1, no. 7, pp. 77-91, 1952.
7. S. Arnone, A. Loraschi, and A. Tettamanzi, "A genetic approach to portfolio selection," Neural Network World, vol. 3, no. 6, pp. 597-604, 1993.
8. A. Loraschi, A. Tettamanzi, M. Tomassini, and P. Verda, "Distributed genetic algorithms with an application to portfolio selection problems," in Artificial Neural Networks and Genetic Algorithms (ICANNGA'95), N. Steele and R. Albrecht, Eds. Wien: Springer, 1995, pp. 384-387.
9. J. S. Shoaf and J. A. Foster, "A Genetic Algorithm Solution to the Efficient Set Problem: A Technique for Portfolio Selection Based on the Markowitz Model," in Proceedings of the Decision Sciences Institute Annual Meeting, Orlando, Florida, 1996, pp. 571-573.
10. J. Shoaf and J. A. Foster, "The efficient set GA for stock portfolios," in Proceedings of the 1998 IEEE International Conference on Evolutionary Computation (CEC'98). Anchorage, Alaska: IEEE Press, 1998, pp. 354-359.
11. G. Vedarajan, L. C. Chan, and D. E. Goldberg, "Investment Portfolio Optimization using Genetic Algorithms," in Late Breaking Papers at the Genetic Programming 1997 Conference, J. R. Koza, Ed. Stanford University, California: Stanford Bookstore, July 1997, pp. 255-263.
12. J. C. Bean, "Genetics and random keys for sequencing and optimization," ORSA Journal on Computing, vol. 6, no. 2, pp. 154-160, 1994.
13. N. Srinivas and K. Deb, "Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms," Evolutionary Computation, vol. 2, no. 3, pp. 221-248, Fall 1994.
14. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Reading, Massachusetts: Addison-Wesley Publishing Company, 1989.
15. T. J. Chang, N. Meade, and J. E. Beasley, "Heuristics for Cardinality Constrained Portfolio Optimization," Computers and Operations Research, vol. 27, no. 13, pp. 1271-1302, 2000.
16. F. Glover and M. Laguna, Tabu Search. Boston, Massachusetts: Kluwer Academic Publishers, 1997.
17. S. Kirkpatrick, C. Gellatt, and M. Vecchi, "Optimization by Simulated Annealing," Science, vol. 220, no. 4598, pp. 671-680, 1983.
18. D. Lin, S. Wang, and H. Yan, "A multiobjective genetic algorithm for portfolio selection," Working Paper, Institute of Systems Science, Academy of Mathematics and Systems Science Chinese Academy of Sciences, Beijing, China, 2001.
19. - "A multiobjective genetic algorithm for portfolio selection," in Proceedings of ICOTA 2001, Hong Kong, December 2001.
20. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II," IEEE Transactions on Evolutionary Computation, vol. 6, no. 2, pp. 182-197, April 2002.
21. K. Deb and R. B. Agrawal, "Simulated Binary Crossover for Continuous Search Space," Complex Systems, vol. 9, pp. 115-148, 1995.
22. Z. Michalewicz and G. Nazhiyath, "Genocop III: A co-evolutionary algorithm for numerical optimization with nonlinear constraints," in Proceedings of the Second IEEE International Conference on Evolutionary Computation, D. B. Fogel, Ed. Piscataway, New Jersey: IEEE Press, 1995, pp. 647-651.
23. J. R. Beasley, "OR Library," Online, 1999, available: http://mscmga.ms.ic.ac.uk
24. J. Fieldsend, J. Matatko, and M. Peng, "Cardinality constrained portfolio optimisation," in Proceedings of the Fifth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'04), Z. Yang, R. Everson, and H. Yin, Eds. Springer-Verlag. Lecture Notes in Computer Science Vol. 3177, August 2004, pp. 788-793.
25. C. Chang and D. Xu, "Differential Evolution Based Tuning of Fuzzy Automatic Train Operation for Mass Rapid Transit System," IEE Proceedings of Electric Power Applications, vol. 147, no. 3, pp. 206-212, May 2000.
26. J. E. Fieldsend, R. M. Everson, and S. Singh, "Using Unconstrained Elite Archives for Multiobjective Optimization," IEEE Transactions on Evolutionary Computation, vol. 7, no. 3, pp. 305-323, June 2003.
27. F. Streichert, H. Ulmer, and A. Zell, "Comparing Discrete and Continuous Genotypes on the Constrained Portfolio Selection Problem," in Genetic and Evolutionary Computation-GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, K. D. et al., Ed. Seattle, Washington, USA: Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, June 2004, pp. 1239-1250.
28. N. Srinivas and K. Deb, "Multiobjective optimization using nondominated sorting in genetic algorithms," Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, India, Tech. Rep., 1993.
29. E. Zitzler and L. Thiele, "Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach," IEEE Transactions on Evolutionary Computation, vol. 3, no. 4, pp. 257-271, November 1999.
30. M. Ehrgott, K. Klamroth, and C. Schwehm, "An MCDM approach to portfolio optimization," European Journal of Operational Research, vol. 155, no. 3, pp. 752-770, June 2004.
31. R. Armananzas and J. A. Lozano, "A Multiobjective Approach to the Portfolio Optimization Problem," in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), vol. 2. Edinburgh, Scotland: IEEE Service Center, September 2005, pp. 1388-1395.
32. H. H. Hoos and T. Stützle, Stochastic Local Search. Foundations and Applications. Morgan Kaufmann Publishers, 2005, iSBN 1-55860-872-9.
33. M. Dorigo and T. Stützle, Ant Colony Optimization. The MIT Press, 2004, iSBN 0-262-04219-3.
34. C. E. M. Romero and E. M. Manzanares, "MOAQ an Ant-Q Algorithm for Multiple Objective Optimization Problems," in Genetic and Evolutionary Computing Conference (GECCO 99), W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, Eds., vol. 1. San Francisco, California: Morgan Kaufmann, July 1999, pp. 894-901.
35. R. Subbu, P. P. Bonissone, N. Eklund, S. Bollapragada, and K. Chalermkraivuth, "Multiobjective Financial Portfolio Design: A Hybrid Evolutionary Approach," in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), vol. 2. Edinburgh, Scotland: IEEE Service Center, September 2005, pp. 1722-1729.
36. J. D. Schaffer, "Multiple Objective Optimization with Vector Evaluated Genetic Algorithms," in Genetic Algorithms and their Applications: Proceedings of the First International Conference on Genetic Algorithms. Lawrence Erlbaum, 1985, pp. 93-100.
37. E. H. Ruspini and I. S. Zwir, "Automated Qualitative Description of Measurements," in Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference, Venice, Italy, 1999.
38. I. S. Zwir and E. H. Ruspini, "Qualitative Object Description: Initial Reports of the Exploration of the Frontier," in Procedings of the Joint EUROFUSE - SIC'99 International Conference, Budapest, Hungary, 1999.
39. J. Horn, N. Nafpliotis, and D. E. Goldberg, "A Niched Pareto Genetic Algorithm for Multiobjective Optimization," in Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, vol. 1. Piscataway, New Jersey: IEEE Service Center, June 1994, pp. 82-87.
40. H. Iba, H. de Garis, and T. Sato, "Genetic Programming Using a Minimum Description Length Principle," in Advances in Genetic Programming, J. Kenneth E. Kinnear, Ed. MIT Press, 1994, pp. 265-284.
41. Y. Kim, W. N. Street, and F. Menczer, "An Evolutionary Multi-Objective Local Selection Algorithm for Customer Targeting," in Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), vol. 2. Piscataway, New Jersey: IEEE Service Center, May 2001, pp. 759-766.
42. S. Mullei and P. Beling, "Hybrid Evolutionary Algorithms for a Multiobjective Financial Problem," in Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, vol. 4. IEEE, October 1998, pp. 3925-3930.
43. F. Schlottmann and D. Seese, "Hybrid multi-objective evolutionary computation of constrained downside risk-return efficient sets for credit portfolio," in Proceedings of the 8th International Conference of the Society for Computational Economics. Computing in Economics and Finance, Aix-en-Provence, France, June 2002.
44. - "A Hybrid Heuristic Approach to Discrete Multi-Objective Optimization of Credit Portfolios," Computational Statistics & Data Analysis, vol. 47, no. 2, pp. 373-399, September 2004.
45. A. Mukerjee, R. Biswas, K. Deb, and A. P. Mathur, "Multi-objective evolutionary algorithms for the risk-return trade-off in bank-load management," International Transactions in Operational Research, vol. 9, no. 5, pp. 583-597, September 2002.
46. S. Mardle, S. Pascoe, and M. Tamiz, "An Investigation of Genetic Algorithms for the Optimization of Multiobjective Fisheries Bioeconomic Models," in Proceedings of the Third International Conference on Multi-Objective Programming and Goal Programming: Theory and Applications (MOPGP'98), Quebec City, Canada, 1998.
47. - "An investigation of genetic algorithms for the optimisation of multi-objective fisheries bioeconomic models," International Transactions of Operations Research, vol. 7, no. 1, pp. 33-49, 2000.
48. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, 3rd ed. Springer-Verlag, 1996.
49. A. D. Brooke, D. Kendrick, and A. Meerhaus, GAMS: A User's Guide. California: Scientific Press, 1988.
50. N. Matos, C. Sierra, and N. R. Jennings, "Determining successful negotiation strategies: An evolutionary approach," in Proceedings of the Third International Conference on Multi-Agent Systems (ICMAS-98). Paris, France: IEEE Press, 1998, pp. 182-189.