GDE3: The third evolution step of generalized differential evolution

2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings

Volumn 1, Issue , 2005, Pages 443-450

  Kukkonen, Saku ^a   Lampinen, Jouni ^a  

^a LAPPEENRANTA UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DIFFERENTIAL EQUATIONS; GLOBAL OPTIMIZATION; NUMBER THEORY; PROBLEM SOLVING; SET THEORY;

DIFFERENTIAL EVOLUTION (DE); MULTI-OBJECTIVE PROBLEMS; TEST PROBLEMS;

EVOLUTIONARY ALGORITHMS;

EID: 27144451406     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (37)

1. H. A. Abbass. The self-adaptive Pareto Differential Evolution algorithm. In Proceedings of the 2002 Congress on Evolutionary Computation (CEC 2002), pages 831-836, Honolulu, Hawaii, May 2002.
2. H. A. Abbass, R. Sarker, and C. Newton. PDE: a Pareto-frontier Differential Evolution approach for multi-objective optimization problems. In Proceedings of the 2001 Congress on Evolutionary Computation (CEC 2001), pages 971-978, Seoul, South Korea, 2001.
3. B. V. Babu and M. M. L. Jehan. Differential Evolution for multi-objective optimization. In Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), pages 2696-2703, Canberra, Australia, Dec 2003.
4. P. K. Bergey. An agent enhanced intelligent spreadsheet solver for multi-criteria decision making. In Proceedings of the Fifth Americas Conference on Information Systems (AMCIS 1999), pages 966-968, Milwaukee, Wisconsin, USA, Aug 1999.
5. C. S. Chang and D. Y. Xu. Differential Evolution based tuning of fuzzy automatic train operation for mass rapid transit system. IEE Proceedings on Electric Power Applications, 147(3):206-212, May 2000.
6. C. S. Chang, D. Y. Xu, and H. B. Quek. Pareto-optimal set based multiobjective tuning of fuzzy automatic train operation for mass transit system. IEE Proceedings on Electric Power Applications, 146(5): 577-583, Sept 1999.
7. T.-T. Chang and H.-C. Chang. Application of Differential Evolution to passive shunt harmonic filter planning. In 8th International Conference On Harmonics and Quality of Power, pages 149-153, Athens, Greece, Oct 1998.
8. K. Deb. Multi-Objective Optimization using Evolutionary Algorithms. John Wiley & Sons, Chichester, England, 2001.
9. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2):182-197, April 2002.
10. K. Deb, A. Pratap, and T. Meyarivan. Constrained test problems for multi-objective evolutionary optimization. In Proceedings of the 1st International Conference on Evolutionary Multi-Criterion Optimization (EMO 2001), pages 284-298, Zurich, Switzerland, March 2001.
11. K. Deb, L. Thiele, M. Laumanns, and E. Zitzler. Scalable multi-objective optimization test problems. In Proceedings of the 2002 Congress on Evolutionary Computation (CEC 2002), pages 825-830, Honolulu, Hawaii, May 2002.
12. K. Deb and S. Tiwari. Omni-optimizer: A procedure for single and multi-objective optimization. In Proceedings of the 3rd International Conference on Evolutionary Multi-Criterion Optimization (EMO 2005), pages 47-61, Guanajuato, Mexico, March 2005.
13. R. J. G. Feng Xue, Arthur C. Sanderson. Pareto-based multi-objective Differential Evolution. In Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), pages 862-869, Canberra, Australia, Dec 2003.
14. V. Feoktistov and S. Janaqi. New strategies in Differential Evolution. In Proceedings of the 6th International Conference on Adaptive Computing in Design and Manufacture (ACDM2004), pages 335-346, Bristol, United Kingdom, April 2004.
15. J. E. Fieldsend, R. M. Everson, and S. Singh. Using unconstrained elite archives for multiobjective optimization. IEEE Transactions on Evolutionary Computation, 7(3):305-323, June 2003.
16. N. Hansen and A. Ostermeier. Adapting arbitrary normal mutation sistributions in Evolution Strategies: The covariance matrix adaptation. In Proceedings of the 1996 Congress on Evolutionary Computation (CEC 1996), pages 312-317, Nayoya University, Japan, May 1996.
17. A. Inorio and X. Li. Solving rotated multi-objective optimization problems using Differential Evolution. In Proceedings of the 17th Australian Joint Conference on Artificial Intelligence (AI 2004), pages 861-872, Cairns, Australia, Dec 2004.
18. M. T. Jensen. Reducing the run-time complexity of multiobjective EAs: The NSGA-II and other algorithms. IEEE Transactions on Evolutionary Computation, 7(5):503-515, Oct 2003.
19. S. Kukkonen and K. Deb. Improved pruning of nondominated solutions based on crowding distance. Unpublished manuscript, 2005.
20. S. Kukkonen and J. Lampinen. Comparison of Generalized Differential Evolution algorithm to other multiobjective evolutionary algorithms. In Proceedings of the 4th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS2004), page 445, Jyväskylä, Finland, July 2004.
21. S. Kukkonen and J. Lampinen. An extension of Generalized Differential Evolution for multi-objective optimization with constraints. In Proceedings of the 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), pages 752-761, Birmingham, Finland, Sept 2004.
22. J. Lampinen. DE's selection rule for multiobjective optimization. Technical report, Lappeenranta University of Technology, Department of Information Technology, 2001. [Online] Available: http://www.it.lut.fi/kurssit/ 03-04/010778000/MODE.pdf, 1.4.2005.
23. J. Lampinen. A constraint handling approach for the Differential Evolution algorithm. In Proceedings of the 2002 Congress on Evolutionary Computation (CEC 2002), pages 1468-1473, Honolulu, Hawaii, May 2002.
24. M. Laumanns, E. Zitzler, and L. Thiele. A unified model for multi-objective evolutionary algorithms with elitism. In Proceedings of the 2000 Congress on Evolutionary Computation (CEC 2000), volume 1, pages 46-53, Piscataway, NJ, 2000.
25. Y.-C. Lin, K.-S. Hwang, and F.-S. Wang. Hybrid Differential Evolution with multiplier updating method for nonlinear constrained optimization problems. In Proceedings of the 2002 Congress on Evolutionary Computation (CEC 2002), pages 872-877, Honolulu, Hawaii, May 2002.
26. N. K. Madavan. Multiobjective optimization using a Pareto Differential Evolution approach. In Proceedings of the 2002 Congress on Evolutionary Computation (CEC 2002), pages 1145-1150, Honolulu, Hawaii, May 2002.
27. E. Mezura-Montes, C. A. Coello Coello, and E. I. Tun-Morales. Simple feasibility rules and Differential Evolution for constrained optimization. In Proceedings of the 3rd Mexican International Conference on Artificial Intelligence (MICAI 2004), pages 707-716, Mexico City, Mexico, April 2004.
28. K. Miettinen. Nonlinear Multiobjective Optimization. Kluwer Academic Publishers, Boston, 1998.
29. K. E. Parsopoulos, D. K. Tasoulis, N. G. Pavlidis, V. P. Plagianakos, and M. N. Vrahatis. Vector evaluated Differential Evolution for multiobjective optimization. In Proceedings of the 2004 Congress on Evolutionary Computation (CEC 2004), pages 204-211, Portland, Oregon, USA, June 2004.
30. K. V. Price. New Ideas in Optimization, chapter An Introduction to Differential Evolution, pages 79-108. McGraw-Hill, London, 1999.
31. K. V. Price, R. Storn, and J. Lampinen. Differential Evolution: A Practical Approach to Global Optimization. Springer-Verlag, Berlin, 2005.
32. T. Robič and B. Filipič. DEMO: Differential Evolution for multiobjective optimization. In Proceedings of the 3rd International Conference on Evolutionary Multi-Criterion Optimization (EMO 2005), pages 520-533, Guanajuato, Mexico, March 2005.
33. R. Storn. System design by constraint adaptation and Differential Evolution. IEEE Transactions on Evolutionary Computation, 3(1):22-34, April 1999.
34. R. Storn and K. V. Price. Differential Evolution - a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization, 11(4):341-359, Dec 1997.
35. E-S. Wang and J.-P. Chiou. Differential Evolution for dynamic optimization of differential-algebraic systems. In Proceedings of the IEEE International Conference on Evolutionary Computation (ICEC'97), pages 531-536, Indianapolis, IN, 1997.
36. F.-S. Wang and J.-W. Sheu. Multiobjective parameter estimation problems of fermentation processes using a high ethanol tolerance yeast. Chemical Engineering Science, 55(18):3685-3695, Sept 2000.
37. D. Zaharie. Multi-objective optimization with adaptive Pareto Differential Evolution. In Proceedings of Symposium on Intelligent Systems and Applications (SIA 2003), Iasi, Romania, Sept 2003.