Abstract
In this paper we conduct some experiments with one of the most promising nature-inspired metaheuristic algorithm for optimization, known as Cuckoo Search (CS). It is essentially based on the cuckoo breeding behavior, which consists of dumping eggs in the nests of host birds and letting these host birds raise their chicks. The aim of this paper is to explore the performance of CS metaheuristic when it is used to evolve Neural Network for classification or function approximation.
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Georgescu, V. (2016). Exploring the Potential of Cuckoo Search Algorithm for Classification and Function Approximation. In: León, R., Muñoz-Torres, M., Moneva, J. (eds) Modeling and Simulation in Engineering, Economics and Management. MS 2016. Lecture Notes in Business Information Processing, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-319-40506-3_19
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DOI: https://doi.org/10.1007/978-3-319-40506-3_19
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