Abstract
Inspired by the searching model proposed by Kleinberg in a small-world network and based on a novel proposed description that an optimization can be described as a process where information transmitted from a candidate solution to the optimal solution in solution space of problems, where the solution space can also be regarded as a small-world network and each solution as a node in the small-world network, a new optimization strategy with small-world effects was formulated in this paper. The analysis and the simulation experiments in the global numerical optimization problems indicated that the method achieved a fast convergence rate and obtained a good searching performance in optimization.
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Wang, X., Yang, X., Su, T. (2006). Global Numerical Optimization Based on Small-World Networks. 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_25
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DOI: https://doi.org/10.1007/11881223_25
Publisher Name: Springer, Berlin, Heidelberg
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