Differential evolution algorithm with ensemble of parameters and mutation strategies

Applied Soft Computing Journal

Volumn 11, Issue 2, 2011, Pages 1679-1696

  Mallipeddi, R ^a   Suganthan, P N ^a   Pan, Q K ^b   Tasgetiren, M F ^c  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b LIAOCHENG UNIVERSITY   (China)

^c YASAR UNIVERSITY   (Turkey)

Author keywords

Differential evolution; Ensemble; Global optimization; Mutation strategy adaptation; Parameter adaptation

Indexed keywords

CONSTRAINED PROBLEM; CONTROL PARAMETERS; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; ENSEMBLE; EVOLUTION PROCESS; MUTATION STRATEGY; NUMERICAL OPTIMIZATIONS; OPTIMAL PERFORMANCE; PARAMETER ADAPTATION; PARAMETER ADAPTIVE; PARAMETER SETTING; PARAMETER-TUNING;

DIFFERENTIATION (CALCULUS); GLOBAL OPTIMIZATION; LAKES; OPTIMIZATION;

EVOLUTIONARY ALGORITHMS;

EID: 78650872465     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.04.024     Document Type: Conference Paper

References (43)

1. P.J. Angeline Adaptive and self-adaptive evolutionary computation M. Palaniswami, Y. Attikiouzel, R.J. Marks, D.B. Fogel, T. Fukuda, Computational Intelligence: A Dynamic System Perspective 1995 IEEE Press 152 161
2. A.E. Eiben, R. Hinterding, and Z. Michalewicz Parameter control in evolutionary algorithms IEEE Transactions on Evolutionary Computation 3 1999 124 141
3. J. Gomez, D. Dasgupta, and F. Gonazalez Using adaptive operators in genetic search Proceedings of the Genetic and Evolutionary Computation Conference 2003 (GECCO'03) Chicago, Illinois, USA 2003 1580 1581
4. B.R. Julstrom What have you done for me lately? Adapting operator probabilities in a steady-state genetic algorithm Proceedings of the 6th International Conference on Genetic Algorithms Pittsburgh, PA, USA 1995 81 87
5. J.E. Smith, and T.C. Fogarty Operator and parameter adaptation in genetic algorithms Soft Computing 1 June 1997 81 87
6. A. Tuson, and P. Ross Adapting operator settings in genetic algorithms Evolutionary Computation 6 1998 161 184
7. J. Brest, S. Greiner, B. Boscovic, M. Mernik, and V. Zumer Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems IEEE Transactions on Evolutionary Computation 10 December 2006 646 657
8. R. Storn, K. Price, Differential Evolution - A Simple and Efficient Adaptive Scheme for Global Optimization Over Continuous Spaces, Technical Report TR-95-012, ICSI, http://http.icsi.berkeley.edu/∼storn/litera.html, 1995.
9. R. Joshi, and A.C. Sanderson Minimal representation multisensor fusion using differential evolution IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans 29 1999 63 76
10. T. Rogalsky, R.W. Derksen, and S. Kocabiyik Differential evolution in aerodynamic optimization Proceeding of 46th Annual Conference of Canadian Aeronautics and Space Institute Montreal, Quebec 1999 29 36
11. R. Storn On the usage of differential evolution for function optimization Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS) 1996 IEEE Berkeley 519 523
12. M.K. Venu, R. Mallipeddi, and P.N. Suganthan Fiber Bragg grating sensor array interrogation using differential evolution Optoelectronics and Advanced Materials - Rapid Communications 2 2008 682 685
13. J. Ilonen, J.K. Kamarainen, and J. Lampinen Differential evolution training algorithm for feed-forward neural networks Neural Processing Letters 17 2003 93 105
14. S. Das, and A. Konar Automatic image pixel clustering with an improved differential evolution Applied Soft Computing 9 January 2009 226 236
15. U. Maulik, and I. Saha Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery Pattern Recognition 42 2009 2135 2149
16. R. Storn Differential evolution design of an IIR-filter IEEE International Conference on Evolutionary Computation 1996 IEEE 268 273
17. M. Varadarajan, and K.S. Swarup Differential evolution approach for optimal reactive power dispatch Applied Soft Computing 8 September 2008 1549 1561
18. J. Liu, and J. Lampinen On setting the control parameter of the differential evolution method Proceedings of the 8th International Conference on Soft Computing (MENDEL 2002) 2002 11 18
19. A.K. Qin, V.L. Huang, and P.N. Suganthan Differential evolution algorithm with strategy adaptation for global numerical optimization IEEE Transactions on Evolutionary Computation 13 April 2009 398 417
20. M.G.H. Omran, A. Salman, and A.P. Engelbrecht Self-adaptive differential evolution Computational Intelligence and Security, PT 1, Proceedings Lecture Notes in Artificial Intelligence 2005 pp. 192-199
21. D. Zaharie Control of population diversity and adaptation in differential evolution algorithms Proceedings of the 9th International Conference on Soft Computing Brno 2003 41 46
22. J. Tvrdik Adaptation in differential evolution: a numerical comparison Applied Soft Computing 9 June 2009 1149 1155
23. K.V. Price, R.M. Storn, J.A. Lampinen, Differential evolution: a practical approach to global optimization, in: Natural Computing Series, Springer, Berlin, 2005.
24. A. Iorio, and X. Li Solving rotated multi-objective optimization problems using differential evolution Australian Conference on Artificial Intelligence Cairns, Australia 2004 861 872
25. R. Storn, and K. Price Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces Journal of Global Optimization 11 1997 341 359
26. R. Gämperle, S.D. Müller, P. Koumoutsakos, A parameter study for differential evolution, in: Advances in Intelligent Systems, Fuzzy Systems, Evolutionary Computation, WSEAS Press, Interlaken, Switzerland, 2002, pp. 293-298.
27. S. Das, A. Konar, and U.K. Chakraborty Two improved differential evolution schemes for faster global search Proceedings of the 2005 Conference on Genetic and Evolutionary Computation 2005 991 998
28. J. Lampinen, and I. Zelinka On stagnation of the differential evolution algorithm Proceedings of MENDEL 2000, 6th International Mendel Conference on Soft Computing 2000 76 83
29. R. Storn, and K. Price Differential evolution: a simple evolution strategy for fast optimization Dr. Dobb's Journal 22 April 1997 18 24
30. J. Rönkkönen, S. Kukkonen, and K.V. Price Real-parameter optimization with differential evolution IEEE Congress on Evolutionary Computation 2005 506 513
31. K.V. Price An introduction to differential evolution D. Corne, M. Dorgio, F. Glover, New Ideas in Optimization 1999 McGraw-Hill London, UK 79 108
32. S. Das, A. Abraham, and U.K. Chakraborthy Differential evolution using a neighborhood-based mutation operator IEEE Transactions on Evolutionary Computation 13 June 2009 526 553
33. D. Zaharie Influence of crossover on the behavior of differential evolution algorithms Applied Soft Computing 9 June 2009 1126 1138
34. E. Mezura-Montes, J. Velazquez-Reyes, and C.A. Coello Coello Modified differential evolution for constrained optimization IEEE Congress on Evolutionary Computation 2006 25 32
35. D. Zaharie Critical values for the control parameters of differential evolution Proceedings of MENDEL 2002, Eighth International Conference on Soft Computing Brno, Czech Republic 2002 62 67
36. J. Rönkkönen, and J. Lampinen On using normally distributed mutation step length for the differential evolution algorithm Proceedings of MENDEL 2003,Ninth International MENDEL Confernce on Soft Computing Brno, Czech Republic 2003 11 18
37. U.K. Chakraborthy, S. Das, and A. Konar Differential evolution with local neighborhood Proceedings of Congress on Evolutionary Computation Vancouver, BC, Canada 2006 2042 2049
38. H.A. Abbass The self-adaptive Pareto differential evolution algorithm Proceedings of the IEEE Congress on Evolutionary Computation, vol. 1 2002 831 836
39. J. Liu, and J. Lampinen A fuzzy adaptive differential evolution algorithm Soft Computing 9 June 2005 448 462
40. D. Zaharie, and D. Petcu Adaptive Pareto differential evolution and its parallelization Proceedings of 5th International Conference on Parallel Processing and Applied Mathematics Czestochowa, Poland 2003 261 268
41. J. Teo Exploring dynamic self-adaptive populations in differential evolution Soft Computing 10 2006 673 686
42. J.J. Liang, P.N. Suganthan, and K. Deb Novel composition test functions for numerical global optimization IEEE Swarm Intelligence Symposium 2005 Pasadena, California 2005 68 75
43. J.Q. Zhang, and A.C. Sanderson JADE: adaptive differential evolution with optional external archive IEEE Transactions on Evolutionary Computation 13 October 2009 945 958