An improved self-adaptive differential evolution algorithm and its application

Chemometrics and Intelligent Laboratory Systems

Volumn 128, Issue , 2013, Pages 66-76

  Deng, Wu ^a,b,c,e,f   Yang, Xinhua ^a   Zou, Li ^a,c,e   Wang, Meng ^a,c   Liu, Yaqing ^d   Li, Yuanyuan ^a,c  

^a DALIAN JIAOTONG UNIVERSITY   (China)

^b SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING   (China)

^c WUHAN UNIVERSITY   (China)

^d DALIAN MARITIME UNIVERSITY   (China)

^e SOUTHWEST JIAOTONG UNIVERSITY   (China)

^f GUANGXI UNIVERSITY FOR NATIONALITIES   (China)

Author keywords

Adaptive parameter adjustment; Chaotic local search strategy; Differential evolution; Dynamic multi population parallel; High dimensional complex problem

Indexed keywords

ACCURACY; ARTICLE; CONTROLLED STUDY; DIFFERENTIAL EVOLUTION ALGORITHM; EVOLUTIONARY ALGORITHM; IMPROVED SELF ADAPTIVE DIFFERENTIAL EVOLUTION ALGORITHM WITH MULTIPLE STRATEGIES; INTERMETHOD COMPARISON; PRIORITY JOURNAL; QUALITY CONTROL; SELF ADAPTIVE CHAOS DIFFERENTIAL EVOLUTION ALGORITHM; VALIDATION PROCESS; VALIDITY;

EID: 84882947319     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2013.07.004     Document Type: Article

References (39)

1. Kicinger R., Arciszewski T., De Jong K. Evolutionary computation and structural design: a survey of the state-of-the-art. Computers and Structures 2005, 83(23-24):1943-1978.
2. Qasem S.N., Shamsuddin S.M., Zain A.M. Multi-objective hybrid evolutionary algorithms for radial basis function neural network design. Knowledge Based Systems 2012, 27:475-497.
3. Deng W., Chen R., Gao J., Song Y.J., Xu J.J. A novel parallel hybrid intelligence optimization algorithm for a function approximation problem. Computers and Mathematics with Applications 2012, 63(1):325-336.
4. Xu B., Qi R.B., Zhong W.N., Du W.L., Qian F. Optimization of p-xylene oxidation reaction process based on self-adaptive multi-objective differential evolution. Chemometrics and Intelligent Laboratory Systems 2013, 127:55-62.
5. Deng W., Chen R., He B., Liu Y.Y., Yin L.F., Guo J.H. Novel two-stage hybrid swarm intelligence optimization algorithm and application. Soft Computing 2012, 16(10):707-1722.
6. Pomareda V., Guamán A.V., Mohammadnejadb M., et al. Multivariate curve resolution of nonlinear ion mobility spectra followed by multivariate nonlinear calibration for quantitative prediction. Chemometrics and Intelligent Laboratory Systems 2012, 118:219-229.
7. Boyd S.P., Wegbreit B. Fast computation of optimal contact forces. IEEE Transactions on Robotics 2007, 23(6):1117-1132.
8. Tasgetiren M.F., Pan Q.K., Suganthan P.N., Liang Y.C. A discrete differential evolution algorithm for the no-wait flowshop scheduling problem with total flowtime criterion. Proceedings of the 2007 IEEE symposium on computational intelligence in scheduling, USA 2007, 1-8. IEEE, Hawaii.
9. Deng G.L., Gu X.S. A hybrid discrete differential evolution algorithm for the no-idle permutation flow shop scheduling problem with makespan criterion. Computers and Operations Research 2012, 39(9):2152-2160.
10. Gamperle R., Müller S.D., Koumoutsakos P. A parameter study for differential evolution. Proceedings of the 2002 Advances in Intelligent Systems, Fuzzy Systems, Evolutionary Computation 2002, 293-298. WSEAS Press, Interlaken, Switzerland, (Interlaken: WSEAS).
11. Das S., Konar A., Chakraborty U.K. Two improved differential evolution schemes for faster global search 2005, 991-998. ACM, New York.
12. Zaharie D. Control of population diversity and adaptation in differential evolution algorithms. Proceedings of the 9th International Conference on Soft Computing 2003, 41-46. (Brno).
13. Wang L., Dun C.X., Bi W.J., Zeng Y.R. An effective and efficient differential evolution algorithm for the integrated stochastic joint replenishment and delivery model. Knowledge Based Systems 2012, 36:104-114.
14. Storn R. On the usage of differential evolution for function optimization. Proceedings of the1996 Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS) 1996, 519-523. IEEE, Berkeley, (Berkeley: IEEE).
15. Rönkkönen J., Kukkonen S., Price K.V. Real-Parameter Optimization with Differential Evolution 2005, 506-513. IEEE, Edinburgh.
16. Price K.V., Storn R.M., Lampinen J.A. Differential evolution: a practical approach to global optimization. Proceedings of the 2005 Natural Computing Series 2005, Springer, Berlin.
17. Al-Obeidat F., Belacel N., Carretero J.A., Mahanti P. Differential evolution for learning the classification method PROAFTN. Knowledge Based Systems 2010, 23(5):418-426.
18. Gamperle R., Müller S.D., Koumoutsakos P. A parameter study for differential evolution. Proceedings of the 2002 Advances in Intelligent Systems, Fuzzy Systems, Evolutionary Computation 2002, 293-298. WSEAS Press, Interlaken, Switzerland, (Interlaken: WSEAS).
19. Lampinen J., Zelinka I. On stagnation of the differential evolution algorithm. Proceedings of MENDEL 2000, 6th International Mendel Conference on Soft Computing 2000, 76-83.
20. Das S., Abraham A., Chakraborthy U.K. Differential evolution using a neighborhood-based mutation operator. IEEE Transactions on Evolutionary Computation 2009, 13(3):526-553.
21. Iorio A., Li X. Solving rotated multi-objective optimization problems using differential evolution. Proceedings of the 2004 Australian Conference on Artificial Intelligence 2004, 861-872. (Australia, Cairns).
22. Zaharie D. Influence of crossover on the behavior of differential evolution algorithms. Applied Soft Computing 2009, 9(3):1126-1138.
23. Alguliev R.M., Aliguliyev R.M., Isazade N.R. DESAMC+ DocSum: differential evolution with self-adaptive mutation and crossover parameters for multi-document summarization. Knowledge Based Systems. 2012, 36:21-38.
24. Storn R. On the usage of differential evolution for function optimization. Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS) 1996, 519-523. IEEE, Berkeley.
25. Zaharie D. Critical values for the control parameters of differential evolution. Proceedings of MENDEL 2002, Eighth International Conference on Soft Computing 2002, 62-67. (Brno, Czech Republic).
26. Chakraborthy U.K., Das S., Konar A. Differential evolution with local neighbourhood. Proceedings of the 2006 Evolutionary Computation 2006, 2042-2049. (Vancouver, BC, Canada).
27. Abbass H.A. The self-adaptive Pareto differential evolution algorithm. Proceedings of the 2002 IEEE Evolutionary Computation 2002, 831-836.
28. Liu J., Lampinen J. A fuzzy adaptive differential evolution algorithm. Soft Computing 2009, 9(6):448-462.
29. Qin A.K., Huang V.L., Suganthan P.N. Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Transactions on Evolutionary Computation 2009, 13(2):398-417.
30. Teo J. Exploring dynamic self-adaptive populations in differential evolution. Soft Computing 2006, 10(8):673-686.
31. García S., Molina D., Lozano M., Herrera F. A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization. Journal of Heuristics 2009, 15:617-644.
32. Chen C.W., Chen D.Z., Cao G.Z. An improved differential evolution algorithm in training and encoding prior knowledge into feedforward networks with application in chemistry. Chemometrics and Intelligent Laboratory Systems 2002, 64(1):27-43.
33. Jia D.L., Zheng G.X., Khan M.K. An effective memetic differential evolution algorithm based on chaotic local search. Information Sciences 2011, 181(15):3175-3187.
34. Mininno E., Neri F. Estimation distribution differential evolution. Lecture Notes in Computer Science 2010, 6024:522-531.
35. Wu L.H., Wang Y.N. Self-adapting control parameters modified differential evolution for trajectory planning manipulator. Control Theory Application 2007, 5(4):365-373.
36. Leandro dos Santos C., Teodoro C.B., Lebensztajn Luiz A chaotic approach of differential evolution optimization applied to loudspeaker design problem. IEEE Transactions on Magnetics 2012, 48(2):751-754.
37. Yao X., Liu Y., Lin G. Evolutionary programming made faster. IEEE Trans Evolutionary Computation 1999, 3(2):82-86.
38. Guo Z.Y., Cheng B., Ye M., Cao B.G. Self-adaptive chaos differential evolution. Lecture Notes in Computer Science 2006, 4221:972-975.
39. Yu Y., Yu X.C., Li Y.S. Novel discrete particle swarm optimization based on huge value penalty for solving engineering problem. Chinese Journal of Mechanical Engineering 2009, 22(3):410-418.