Cuckoo search via lévy flight applied to optimal water supply system design

RICARDO JAVIER SOTO DE GIORGIS, BRODERICK CRAWFORD LABRIN, Rodrigo Olivares, Carlos Castro, Pía Escárate, Steve Calderón

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaRecent Trends and Future Technology in Applied Intelligence - 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Proceedings
EditoresOtmane Ait Mohamed, Malek Mouhoub, Samira Sadaoui, Moonis Ali
EditorialSpringer Verlag
Páginas383-395
Número de páginas13
ISBN (versión impresa)9783319920573
DOI
EstadoPublicada - 1 ene 2018
Evento31st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems IEA/AIE 2018 - Montreal, Canadá
Duración: 25 jun 201828 jun 2018

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10868 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia31st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems IEA/AIE 2018
PaísCanadá
CiudadMontreal
Período25/06/1828/06/18

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