| dc.creator | Soto-De Giorgis, Ricardo Javier | |
| dc.creator | Crawford, Broderick | |
| dc.creator | Olivares-Ordenes, Rodrigo | |
| dc.creator | Castro, Carlos | |
| dc.creator | Escárate, Pía | |
| dc.creator | Calderón, Steve | |
| dc.date | 2022-05-20T20:45:06Z | |
| dc.date | 2022-06-18T20:35:27Z | |
| dc.date | 2022-05-20T20:45:06Z | |
| dc.date | 2022-06-18T20:35:27Z | |
| dc.date | June28 | |
| dc.date | 2018 | |
| dc.date | 2018 | |
| dc.date | June25 | |
| dc.date.accessioned | 2023-08-22T11:54:03Z | |
| dc.date.available | 2023-08-22T11:54:03Z | |
| dc.identifier | 1160455 | |
| dc.identifier | https://hdl.handle.net/10533/253869 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8345982 | |
| dc.description | 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 L´evy 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.
Keywords: Optimal water supply system design
Cuckoo search algorithm · Metaheuristics | |
| dc.description | FONDECYT | |
| dc.description | FONDECYT | |
| dc.language | eng | |
| dc.relation | instname: ANID | |
| dc.relation | reponame: Repositorio Digital RI2.0 | |
| dc.relation | International Conference on Industrial, Engineering and Other Applications of Applied
Intelligent Systems, IEA/AIE | |
| dc.relation | 31° | |
| dc.rights | http://creativecommons.org/licenses/by/3.0/cl/ | |
| dc.title | Cuckoo search via lévy flight applied to optimal water supply system design | |
| dc.type | info:eu-repo/semantics/lecture | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.coverage | Montreal | |
