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Cuckoo Search via Lévy Flight Applied to Optimal Water Supply System Design

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Recent Trends and Future Technology in Applied Intelligence (IEA/AIE 2018)

Abstract

Designing optimal water supply systems is an important purpose of any urban system that involves relevant installation, operation and maintenance costs. However, achieving the optimal design is known to be a complex task, indeed the corresponding mathematical model for this problem leads to a non-linear and non-convex problem classified as NP-hard. In this paper, we propose using the cuckoo search algorithm which a modern bio-inspired metaheuristic based on the obligate brood parasitic behavior of cuckoo birds. This behavior is combined with the interesting Lévy flight, which mimic the exploration of some birds and flies, that move by combining straight flights and ninety degrees turns. The proposed approach results in a fast convergence algorithm able to noticeably reduce the number of objective function evaluations needed to solve this problem.

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Acknowledgment

Ricardo Soto is supported by Grant CONICYT/FONDECYT/REGULAR/1160455. Broderick Crawford is supported by Grant CONICYT/FONDECYT/REGULAR/1171243. Rodrigo Olivares is supported by CONICYT/FONDEF/IDeA/ID16I10449, FONDECYT/STIC-AMSU/17STIC-03, FONDECYT/MEC/MEC80170097, and Postgraduate Grant Pontificia Universidad Católica de Valparaíso (INF - PUCV 2015–2018).

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Correspondence to Ricardo Soto , Broderick Crawford , Rodrigo Olivares or Carlos Castro .

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Soto, R., Crawford, B., Olivares, R., Castro, C., Escárate, P., Calderón, S. (2018). Cuckoo Search via Lévy Flight Applied to Optimal Water Supply System Design. In: Mouhoub, M., Sadaoui, S., Ait Mohamed, O., Ali, M. (eds) Recent Trends and Future Technology in Applied Intelligence. IEA/AIE 2018. Lecture Notes in Computer Science(), vol 10868. Springer, Cham. https://doi.org/10.1007/978-3-319-92058-0_37

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  • DOI: https://doi.org/10.1007/978-3-319-92058-0_37

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  • Online ISBN: 978-3-319-92058-0

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