Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Idel Montalvo Arango"'
Publikováno v:
Procedia Engineering. 119:653-659
Analysing water networks online should not be constrained to classic hydraulic simulations. Including other processes can give a much better global view of what is happening in the network. Water quality modelling [1], event detection [2] or online s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e71c6bd872514a26df4ef064a83e346
https://doi.org/10.1016/j.proeng.2015.08.918
https://doi.org/10.1016/j.proeng.2015.08.918
Publikováno v:
Procedia Engineering. 119:319-327
The security of drinking water is increasingly being recognized as a major challenge for municipalities and water utilities. In the event of a contamination, water spreads rapidly before the problem is detected. Contaminated drinking water can induce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84aee75cecf9de4be0848a0fd49fec70
https://doi.org/10.1016/j.proeng.2015.08.891
https://doi.org/10.1016/j.proeng.2015.08.891
Publikováno v:
Machine Learning for Cyber Physical Systems ISBN: 9783662538050
ML4CPS
ML4CPS
In the future, production systems and information technology will merge, providing new ways for data processing and analysis. Still, the current situation is that for different production environments, different IT infrastructures exist. This makes d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d872ca21f78b1278c0e332b306b8c693
https://doi.org/10.1007/978-3-662-53806-7_6
https://doi.org/10.1007/978-3-662-53806-7_6
Publikováno v:
Machine Learning for Cyber Physical Systems ISBN: 9783662538050
ML4CPS
ML4CPS
Agent Swarm Optimization is a framework that combines the use of evolutionary algorithms, data mining, modeling and other techniques to find the best compromises among objectives in complex decision problems. It has been applied mainly in engineering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29639471d3b69eabb11a20f0db6e7057
https://doi.org/10.1007/978-3-662-53806-7_7
https://doi.org/10.1007/978-3-662-53806-7_7
Publikováno v:
Expert Systems with Applications. 38:12826-12838
The paper is concerned with practices for tuning the parameters of metaheuristics. Settings such as, e.g., the cooling factor in simulated annealing, may greatly affect a metaheuristic's efficiency as well as effectiveness in solving a given decision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d35162933b4e94a9980a496e8629886
https://doi.org/10.1016/j.eswa.2011.04.075
https://doi.org/10.1016/j.eswa.2011.04.075
Autor:
Idel Montalvo Arango
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Riunet
instname
Riunet
La necesidad de hacer eficientes y económicamente viables las grandes inversiones relacionadas con la construcción y el mantenimiento de las redes de abastecimiento de agua, hace que se preste especial atención al diseño de este tipo de redes. Co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e37104e279ce0b380f972970ef3e9440
https://doi.org/10.4995/thesis/10251/14858
https://doi.org/10.4995/thesis/10251/14858
The proper estimation and regular update of model parameters is crucial for the actuality of a mathematical simulation model representing the hydraulics and water quality of a real physical water distribution system. Especially, when the model is run
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc59d6c89eada81cc0b6b400996e11d2
https://publica.fraunhofer.de/handle/publica/241051
https://publica.fraunhofer.de/handle/publica/241051
Autor:
Rafael Pérez García, José Bienvenido Martínez Rodríguez, Joaquín Izquierdo Sebastián, Idel Montalvo Arango
Publikováno v:
Water Distribution Systems Analysis 2010.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbdf13c0964aa873c631dc6460002949
https://doi.org/10.1061/41203(425)70
https://doi.org/10.1061/41203(425)70