A differential evolution algorithm with variable parameter search for real-parameter continuous function optimization

2009 IEEE Congress on Evolutionary Computation, CEC 2009

Volumn , Issue , 2009, Pages 1247-1254

  Tasgetiren, M Fatih ^a   Pan, Quan Ke ^b   Suganthan, P N ^c   Liang, Yun Chia ^d  

^a SULTAN QABOOS UNIVERSITY   (Oman)

^b LIAOCHENG UNIVERSITY   (China)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^d YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS FUNCTION OPTIMIZATION; CROSSOVER OPERATOR; CROSSOVER RATES; DIFFERENTIAL EVOLUTION ALGORITHMS; EVOLUTIONARY COMPUTATIONS; GLOBAL EXPLORATION; LOCAL MINIMUMS; LOCAL SEARCH; MUTATION STRATEGY; SCALE FACTOR; SEARCH PROCEDURES; SEARCH PROCESS; VARIABLE PARAMETERS;

CALCULATIONS; DAMPING; FUNCTIONS; MATHEMATICAL OPERATORS;

EVOLUTIONARY ALGORITHMS;

EID: 70449737161     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4983088     Document Type: Conference Paper

References (21)

1. N. Noman and H. Iba, "Accelerating differential evolution using an adaptive local search" , IEEE Transaction on Evolutionary Computation, Vol.12, No.1, pp. 107-125, February 2008.
2. T. Bäck, D. B. Fogel, and Z. Michalewicz, Eds., Evolutionary Computation2: Advanced Algorithms and Operators. Bristol, U.K.: Institute of Physics, 2000.
3. P. Moscato and M. G. Norman, "A memetic approach for the travelling salesman problem implementation of a computational ecology for ombinatorial optimization on message-passing systems, " in Proc. Parallel Comput. Transputer Appl., 1992, pp. 177-186.
4. P. Moscato, "On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms, " Caltech Concurrent Computation Program, California Inst. Technol., Pasadena, CA, Tech. Rep. 826, 1989.
5. P. Merz and B. Freisleben, "Fitness landscapes, memetic algorithms, and greedy operators for graph bipartitioning, " Evol. Comput., vol.8, no.1, pp. 61-91, 2000.
6. M. Lozano, F. Herrera, N. Krasnogor, and D. Molina, "Real-coded memetic algorithms with crossover hill-climbing, " Evol. Comput., vol.12, no.3, pp. 273-302, 2004.
7. Y.-S. Ong and A. J. Keane, "Meta-Lamarckian learning in memetic algorithms, " IEEE Trans. Evol. Comput., vol.8, no.2, pp. 99-110, 2004.
8. Y.-S. Ong, M.-H. Lim, N. Zhu, and K.-W. Wong, "Classification of adaptive memetic algorithms: A comparative study, " IEEE Trans. Syst., Man, Cybern.-Part B, vol.36, no.1, pp. 141-152, 2006.
9. N. K. Bambha, S. S. Bhattacharyya, J. Teich, and E. Zitzler, "Systematic integration of parameterized local search into evolutionary algorithms, " IEEE Trans. Evol. Comput., vol.8, no.2, pp. 137-155, 2004.
10. N. Krasnogor and J. Smith, "A memetic algorithm with self-adaptive local search: TSP as a case study, " in Proc. Genetic Evol. Comput. Conf., 2000, pp. 987-994.
11. R. Storn and K. V. Price, "Differential evolution-A simple and efficient heuristic for global optimization over continuous spaces, " J. Global Opt., vol.11, no.4, pp. 341-359, Dec. 1997.
12. K. V. Price, R. M. Storn, and J. A. Lampinen, Differential Evolution: A Practical Approach to Global Optimization. Berlin, Germany: Springer-Verlag, 2005.
13. D. Corne., M. Dorigo., and F.Glover. (eds.) "Part Two: Differential Evolution, " New Ideas in Optimization, McGraw-Hill, pp. 77-158, 1999.
14. J. Lampinen. "A Bibliography of Differential Evolution Algorithm, " Technical Report, Lappeenranta University of Technology, Department of Information Technology, Laboratory of Information Processing., 2001.
15. B. V. Babu and G. C. Onwubolu. (eds.) . "New Optimization Techniques in Engineering", Springer Verlag, 2004.
16. P. N. Suganthan, N. Hansen, J. J. Liang, K. Deb, Y.-P. Chen, A. Auger, and S. Tiwari, "Problem definitions and evaluation criteria for the cec 2005 special session on real-parameter optimization, " in Technical Report, Nanyang Technological University, Singapore, And KanGAL Report No 2005005, IIT Kanpur, India, May 2005.
17. N. Mladenovic, P. Hansen, Variable neighborhood search, Computers and Operations Research 24 (1997) 1097-1100.
18. N. Noman and H. Iba, "Enhancing differential evolution performance with local search for high dimensional function optimization, " in Proc. 2005 Conf. Genetic Evol. Comput., Jun. 2005, pp. 967-974.
19. Chakraborty U K, (2008) (ed.) Advances in Differential Evolution. Berlin: Springer, 2008.
20. R. Gämperle, S. D Müller, and P. Koumoutsakos, (2002) "A parameter study for differential evolution, " in Proc.WSEAS Int. Conf. Advances Intell. Syst., Fuzzy Syst., Evol. Comput., 2002, pp. 293-298.
21. J. Rönkkönen, S. Kukkonen and K. Price, "Real-parameter optimization with differential evolution, " in Proc. 2005 IEEE Congr. Evol.Comput., Sep. 2005, pp. 506-513.