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A Survey of the Cuckoo Search and Its Applications in Real-World Optimization Problems

A Survey of the Cuckoo Search and Its Applications in Real-World Optimization Problems

Christopher Expósito-Izquierdo, Airam Expósito-Márquez
Copyright: © 2017 |Pages: 15
ISBN13: 9781522521280|ISBN10: 1522521283|EISBN13: 9781522521297
DOI: 10.4018/978-1-5225-2128-0.ch019
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MLA

Expósito-Izquierdo, Christopher, and Airam Expósito-Márquez. "A Survey of the Cuckoo Search and Its Applications in Real-World Optimization Problems." Handbook of Research on Soft Computing and Nature-Inspired Algorithms, edited by Shishir K. Shandilya, et al., IGI Global, 2017, pp. 541-555. https://doi.org/10.4018/978-1-5225-2128-0.ch019

APA

Expósito-Izquierdo, C. & Expósito-Márquez, A. (2017). A Survey of the Cuckoo Search and Its Applications in Real-World Optimization Problems. In S. Shandilya, S. Shandilya, K. Deep, & A. Nagar (Eds.), Handbook of Research on Soft Computing and Nature-Inspired Algorithms (pp. 541-555). IGI Global. https://doi.org/10.4018/978-1-5225-2128-0.ch019

Chicago

Expósito-Izquierdo, Christopher, and Airam Expósito-Márquez. "A Survey of the Cuckoo Search and Its Applications in Real-World Optimization Problems." In Handbook of Research on Soft Computing and Nature-Inspired Algorithms, edited by Shishir K. Shandilya, et al., 541-555. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2128-0.ch019

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Abstract

The chapter at hand seeks to provide a general survey of the Cuckoo Search Algorithm and its most highlighted variants. The Cuckoo Search Algorithm is a relatively recent nature-inspired population-based meta-heuristic algorithm that is based upon the lifestyle, egg laying, and breeding strategy of some species of cuckoos. In this case, the Lévy flight is used to move the cuckoos within the search space of the optimization problem to solve and obtain a suitable balance between diversification and intensification. As discussed in this chapter, the Cuckoo Search Algorithm has been successfully applied to a wide range of heterogeneous optimization problems found in practical applications over the last few years. Some of the reasons of its relevance are the reduced number of parameters to configure and its ease of implementation.

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