A novel hybrid algorithm for function optimization: Particle swarm assisted incremental evolution strategy

Studies in Computational Intelligence

Volumn 75, Issue , 2007, Pages 101-125

  Mo, W ^a   Guan, S G ^a   Puthusserypady, Sadasivan K ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34548303587     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-73297-6_5     Document Type: Article

References (31)

1. Schwefel H P (1995) Evolution and Optimum Seeking. Wiley, New York
2. Eberhart R C, Shi Y H (2001) Proceedings of the 2001 Congress on Evolutionary Computation, 1: 81-86
3. Muhlenbein H, Schlierkamp-Voosen D (1993) Journal of Evolutionary Computation, 1(1): 25-49
4. Eiben A E, Back T (1997) Journal of Evolutionary Computation, 5(3): 345-365
5. Holland J (1975) Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, MI
6. Goldberg D (1989) Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading, MA
7. Schwefel H P (1981) Numerical Optimization of Computer Models. Wiley, New York
8. Schwefel H P (1985) Evolution and Optimum Seeking. Wiley, New York
9. Back T (1996) Evolutionary Algorithms in Theory and Practice. Oxford University Press, NY, USA
10. Whitley D (2001) Journal of Information and Software Technology, 43: 817-831
11. Kennedy J, Eberhart R C (1995) IEEE International Conference on Neural Networks: 1942-1948
12. Shi Y H, Eberhart R C (2001) IEEE International Conference on Evolutionary Computation: 101-106
13. Angeline P J (1998) Annual Conference on Evolutionary Programming: 601-610
14. Kennedy J (2003) Intelligence Symposium: 80-87
15. Xie X F, Zhang W J, Yang Z L (2002) Congress on Evolutionary Computation: 1456-1461
16. Clerc M, Kennedy J (2002) IEEE Transactions on Evolutionary Computation 6(1): 58-73
17. Cristian T I (2003) Information Processing Letters, 85(6): 317-325
18. Kennedy J (1997) IEEE International Conference on Evolutionary Computation: 303-308
19. Hrstka O, Kucerova A (2004) Advances in Engineering Software, 35: 237-246
20. Vasconcelos J A, Ramirez J A, Takahashi R H C, Saldanha P R (2001) IEEE Transactions on Magnetics, 37(5)
21. Angeline P J (1998) Evolutionary optimization versus particle swarm optimization: Philosophy and performance differences. Proceedings of the Evolutionary Program VII, V. W. Porto, Saravanan N, Waagen D, and Eiben A E (eds) Springer, Berlin Heidelberg New York 601-610
22. Gurney K (1997) An Introduction to Neural Networks. Routledge, London
23. Kennedy J, Eberhart R C (1995) IEEE International Conference on Neural Networks (Perth, Australia), IEEE Service Center, Piscataway, NJ 1942-1948
24. Back T, Fogel D (1997) Handbook of Evolutionary Computation. Michalewicz, Oxford University Press, NY, USA
25. Wu F, (2001) A Framework for Memetic Algorithms. MSc. Thesis, Department of Computer Science, University of Auckland, New Zealand
26. Conradie A E, Miikkulainen R, Aldrich C (2002) Proceedings of the 2002 Congress on Evolutionary Computation, 1: 623-628
27. Robinson J, Sinton S, Samii Y R (2002) IEEE Antennas and Propagation Society International Symposium and URSI National Radio Science Meeting, San Antonio, TX
28. Guan S U, Liu J, Journal of Intelligent Systems, 13(1): 45-70
29. Guan S U, Li P (2004) Journal of Intelligent Systems, 13(2): 95-122
30. Guan S U, Chen Q, Mo W T (2005) Artificial Intelligence Review, 23: 267-293
31. Storn R (1996) In: NAPHIS