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Erschienen in:
Review and Applications of Metaheuristic Algorithms in Civil Engineering Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

A DSS-Based Honeybee Mating Optimization (HBMO) Algorithm for Single- and Multi-objective Design of Water Distribution Networks

verfasst von : Omid Bozorg Haddad, Navid Ghajarnia, Mohammad Solgi, Hugo A. Loáiciga, Miguel Mariño

Erschienen in: Metaheuristics and Optimization in Civil Engineering

Verlag: Springer International Publishing

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Abstract

A decision support system (DSS) for long-term design of water distribution networks (WDNs) herein named “dynamic design” is proposed in this work. The proposed DSS is capable of recognizing the long-term consequences of various WDN initial designs to achieve a desirable performance in the rehabilitation period. Single- and multi-objective initial designs and rehabilitation problems are considered in which the design variables are the pipes’ diameters and several rehabilitation alternatives. The DSS relies on the honeybee mating optimization (HBMO) and the multi-objective honeybee mating optimization (MOHBMO) algorithms to minimize the total cost of the initial implementation of a WDN and of its rehabilitation cost, and/or maximize the WDN’s hydraulic reliability. This paper’s results show the advantages of a DSS that considers design and rehabilitation (dynamic design) of activities simultaneously in comparison to DSSs that minimize the initial cost of WDNs only (normal design).

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Metadaten
Titel
A DSS-Based Honeybee Mating Optimization (HBMO) Algorithm for Single- and Multi-objective Design of Water Distribution Networks
verfasst von
Omid Bozorg Haddad
Navid Ghajarnia
Mohammad Solgi
Hugo A. Loáiciga
Miguel Mariño
Copyright-Jahr
2016
Buch
Metaheuristics and Optimization in Civil Engineering

Print ISBN: 978-3-319-26243-7

Electronic ISBN: 978-3-319-26245-1

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-26245-1_10