An integrated method for multi-objective optimal design of a piped irrigation network

Recently, piped irrigation systems have been getting more and more widely utilized. This paper aims to propose an integrated Non-domimated Sorting Genetic Algorithm II (NSGA II) and Multiply Criteria Decision Making (MCDM) method for finding the ultimately optimal design of piped irrigation networks...

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Tác giả chính: Dang, Minh Hai
Định dạng: BB
Ngôn ngữ:en_US
Thông tin xuất bản: Trường Đại học Thuỷ lợi 2023
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Truy cập trực tuyến:http://tailieuso.tlu.edu.vn/handle/DHTL/12264
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spelling oai:localhost:DHTL-122642024-01-10T09:46:24Z An integrated method for multi-objective optimal design of a piped irrigation network Dang, Minh Hai Pipe networks Optimal design NSGA II Selection methods Recently, piped irrigation systems have been getting more and more widely utilized. This paper aims to propose an integrated Non-domimated Sorting Genetic Algorithm II (NSGA II) and Multiply Criteria Decision Making (MCDM) method for finding the ultimately optimal design of piped irrigation networks when simultaneously considering minimum cost of pipes and maximum life span of pipes. The coupled method was applied on a real piped irrigation system consisting of 30 pipe segments. First, 11 Pareto optimal solutions were found by using NSGA II. Then, the optimal solution with the pipe cost of 11.5 ×109 VND and the life span of 43.6 years was ultimately selected based on Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) selection methods. The proposed coupled method could be applied to find optimal design for other piped irrigation systems. 2023-03-14T07:32:37Z 2023-03-14T07:32:37Z 2022 BB 1859-3941 http://tailieuso.tlu.edu.vn/handle/DHTL/12264 en_US Tạp chí Khoa học Thủy lợi và Môi trường, Số 82 - Số Tiếng Anh (12/2022), tr.9-16 application/pdf Trường Đại học Thuỷ lợi
institution Trường Đại học Thủy Lợi
collection DSpace
language en_US
topic Pipe networks
Optimal design
NSGA II
Selection methods
spellingShingle Pipe networks
Optimal design
NSGA II
Selection methods
Dang, Minh Hai
An integrated method for multi-objective optimal design of a piped irrigation network
description Recently, piped irrigation systems have been getting more and more widely utilized. This paper aims to propose an integrated Non-domimated Sorting Genetic Algorithm II (NSGA II) and Multiply Criteria Decision Making (MCDM) method for finding the ultimately optimal design of piped irrigation networks when simultaneously considering minimum cost of pipes and maximum life span of pipes. The coupled method was applied on a real piped irrigation system consisting of 30 pipe segments. First, 11 Pareto optimal solutions were found by using NSGA II. Then, the optimal solution with the pipe cost of 11.5 ×109 VND and the life span of 43.6 years was ultimately selected based on Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) selection methods. The proposed coupled method could be applied to find optimal design for other piped irrigation systems.
format BB
author Dang, Minh Hai
author_facet Dang, Minh Hai
author_sort Dang, Minh Hai
title An integrated method for multi-objective optimal design of a piped irrigation network
title_short An integrated method for multi-objective optimal design of a piped irrigation network
title_full An integrated method for multi-objective optimal design of a piped irrigation network
title_fullStr An integrated method for multi-objective optimal design of a piped irrigation network
title_full_unstemmed An integrated method for multi-objective optimal design of a piped irrigation network
title_sort integrated method for multi-objective optimal design of a piped irrigation network
publisher Trường Đại học Thuỷ lợi
publishDate 2023
url http://tailieuso.tlu.edu.vn/handle/DHTL/12264
work_keys_str_mv AT dangminhhai anintegratedmethodformultiobjectiveoptimaldesignofapipedirrigationnetwork
AT dangminhhai integratedmethodformultiobjectiveoptimaldesignofapipedirrigationnetwork
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