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A platform for research: civil engineering, architecture and urbanism
A DSS-Based Honeybee Mating Optimization (HBMO) Algorithm for Single- and Multi-objective Design of Water Distribution Networks
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).
A DSS-Based Honeybee Mating Optimization (HBMO) Algorithm for Single- and Multi-objective Design of Water Distribution Networks
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).
A DSS-Based Honeybee Mating Optimization (HBMO) Algorithm for Single- and Multi-objective Design of Water Distribution Networks
Bozorg Haddad, Omid (author) / Ghajarnia, Navid (author) / Solgi, Mohammad (author) / Loáiciga, Hugo A. (author) / Mariño, Miguel (author)
2015-12-11
35 pages
Article/Chapter (Book)
Electronic Resource
English
Decision support system , Single-objective optimization , Multi-objective optimization , Honeybee mating optimization algorithm , Initial design , Rehabilitation , Water distribution system Engineering , Civil Engineering , Computational Intelligence , Theoretical and Applied Mechanics , Operation Research/Decision Theory
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