Minimization of
Keane's Bump Function by the Repulsive Particle Swarm and the Differential Evolution Methods
continued.. page 8 of 8
SK Mishra
Department of Economics
NEHU, Shillong (India)
Department of Economics
NEHU, Shillong (India)
The author is thankful to Dr. Kenneth L Judd of the Hoover Institution, Stanford University, USA for sending the paper of Hacker et al. (2002) that led to the present work on optimization of Keane’s function, and his constructive suggestions to consider odd and oddly spaced dimensions, etc.
References
- Emmerich, MTM: Single-
and Multi-objective Evolutionary Design Optimization Assisted by Gaussian
Random Field Metamodels, Dissertation for Doctoral
Degree in Natural Sciences, University of Dortmund, Dortmund. 2005.
- Hacker, KA, Eddy, J and
Lewis, KE: "Efficient Global Optimization using Hybrid Genetic
Algorithms," in 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis
and Optimization, Atlanta, Georgia, 4-6 September 2002.
- Keane, AJ:"Bump: A
Hard(?) Problem " http://www.soton.ac.uk/~ajk/bump.html,
1994.
- Keane, AJ: "Experiences
with optimizers in structural design," in Parmee, IC (ed)
Proceedings of the 1st Conf. on Adaptive Computing in Engineering Design
and Control, University of Plymouth, UK, pp. 14-27, 1994.
- Liu, P and Lewis, MJ: "Communication Aspects
of an Asynchronous Parallel Evolutionary Algorithm", Proceedings of the
Third International Conference on Communications in Computing (CIC 2002), pp. 190-195, Las Vegas,
NV, June 24-27, 2002. http://grid.cs.binghamton.edu/papers/LiuAPEAComm_CIC.pdf
- Mishra, SK
(a): "Global Optimization by Particle Swarm Method: A Fortran
Program" (August 1, 2006). Available at SSRN: http://ssrn.com/abstract=921504
- Mishra, SK (b):
"Global Optimization by Differential Evolution and Particle Swarm
Methods: Evaluation on Some Benchmark Functions" (September 30,
2006). Available at SSRN: http://ssrn.com/abstract=933827
- Mishra,
SK (c): "Performance of Differential Evolution and Particle Swarm
Methods on Some Relatively Harder Multi-Modal Benchmark Functions"
(October 13, 2006). Available at SSRN: http://ssrn.com/abstract=937147
- Ong, YS
and Keane, AJ: "Meta-Lamarckian
Learning in Memetic Algorithms" http://ntu-cg.ntu.edu.sg/ysong/journal/IEEE_EC_Ysong2003.pdf,
2003.
- Ong, YS, Lim, MH, Zhu, N and Wong, KW: "Classification
of Adaptive Memetic Algorithms: A Comparative Study", Un-dated (possibly
written in 2005) working paper,http://ntu-cg.ntu.edu.sg/ysong/journal/AdaptiveMA.pdf
Contact: mishrasknehu@yahoo.com
The author is thankful to Dr.
Kenneth L Judd of the Hoover Institution, Stanford University, USA for sending
the paper of Hacker et al. (2002) that led to the present work on optimization
of Keane's function, and his constructive suggestions to consider odd and oddly
spaced dimensions, etc.
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