Abstract
Inspired by Membrane Computing, this paper presents an optimization algorithm for the problems with large feasible space and large parameters. The algorithm consists of two parts. One is to determine the good area and another is a fast searching tool.The comparisons among some evolutionary algorithms illuminate that the algorithm is simple and computes fast with high precision on optimal problems.
This work is supported by the National Natural Science Foundation of China 60421002.
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Huang, L., Wang, N. (2006). An Optimization Algorithm Inspired by Membrane Computing. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_7
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DOI: https://doi.org/10.1007/11881223_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45907-1
Online ISBN: 978-3-540-45909-5
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