Abstract
This paper investigates the performance of Self-adaptive Differential Evolution (SDE) using a ring neighborhood topology, and compares the results with other well-known DE approaches. The experiments conducted show that using the ring topology with SDE generally improves the performance of SDE in the benchmark functions.
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Omran, M., Engelbrecht, A., Salman, A.: Empirical Analysis of Self-adaptive Differential Evolution (submitted, 2005a)
Omran, M., Engelbrecht, A., Salman, A.: Empirical Analysis of Using Neighborhood Topologies with Differential Evolution (submitted, 2005b)
Omran, M., Salman, A., Engelbrecht, A.: Self-Adaptive Differential Evolution. In: Hao, Y., Liu, J., Wang, Y.-P., Cheung, Y.-m., Yin, H., Jiao, L., Ma, J., Jiao, Y.-C. (eds.) CIS 2005. LNCS (LNAI), vol. 3801, pp. 192–199. Springer, Heidelberg (2005c)
Omran, M., Engelbrecht, A., Salman, A.: Using Neighborhood Topologies with Differential Evolution. In: The Workshop Proceedings of the 2005 International Conference on Computational Intelligence and Security, December, Xi’an, China (to appear, 2005d)
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© 2006 Springer-Verlag Berlin Heidelberg
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Omran, M.G.H., Engelbrecht, A.P., Salman, A. (2006). Using the Ring Neighborhood Topology with Self-adaptive Differential Evolution. In: Jiao, L., Wang, L., Gao, Xb., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881070_129
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DOI: https://doi.org/10.1007/11881070_129
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45901-9
Online ISBN: 978-3-540-45902-6
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