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Design Optimization of Water Distribution Networks through a Novel Differential Evolution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10246970" target="_blank" >RIV/61989100:27240/21:10246970 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9326306" target="_blank" >https://ieeexplore.ieee.org/document/9326306</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ACCESS.2021.3052032" target="_blank" >10.1109/ACCESS.2021.3052032</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Design Optimization of Water Distribution Networks through a Novel Differential Evolution

  • Original language description

    Optimization algorithms have proven to be a useful tool in different areas of water resource management including water distribution network (WDN), which may be modelled as a large scale, combinatorial problem subject to constraints with the typical objective of minimizing the cost. In this study, a fuzzy C-means adaptive differential evolution (FCADE) is proposed to solve three well-known WDN problems: the two-loop distribution network problem, the Hanoi distribution network problem, and New York tunnel distribution network problem. FCADE is integrated with a well-known simulation software EPANET to manage the pressure constraints requirement. A comparative analysis of results through various performance metrics indicate the competence of FCADE for solving complex WDN problems.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LTAIN19176" target="_blank" >LTAIN19176: Metaheuristics Framework for Multi-objective Combinatorial Optimization Problems (META MO-COP)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Access

  • ISSN

    2169-3536

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    Jan

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    19

  • Pages from-to

    16133-16151

  • UT code for WoS article

    000613538600001

  • EID of the result in the Scopus database

    2-s2.0-85099730066