Application of Genetic Algorithms in Storm Sewer System Design

碩士 === 國立臺灣科技大學 === 營建工程系 === 97 === Storm sewer system is important construction in the modern city, and it is the norm of hygienic condition、quality of life、development of nation. In recent years, the climatic changes an too radical. So rain rate cannot be forecasted with full certainly. Tradit...

Full description

Bibliographic Details
Main Authors: Hsien-wen Chuang, 莊賢文
Other Authors: I-tung Yang
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/69089569690726384631
id ndltd-TW-097NTUS5512029
record_format oai_dc
spelling ndltd-TW-097NTUS55120292016-05-02T04:11:39Z http://ndltd.ncl.edu.tw/handle/69089569690726384631 Application of Genetic Algorithms in Storm Sewer System Design 基因演算法在管網系統規劃設計之應用 Hsien-wen Chuang 莊賢文 碩士 國立臺灣科技大學 營建工程系 97 Storm sewer system is important construction in the modern city, and it is the norm of hygienic condition、quality of life、development of nation. In recent years, the climatic changes an too radical. So rain rate cannot be forecasted with full certainly. Traditionally, the design of Storm sewer system maybe time-consuming and less than lost-effective. But now we can use computer and optimal algorithms to facilitate the design of Storm sewer system. This study uses genetic algorithms to help constructer plan and design the Storm sewer system. The chromosome design represents a kind of system layout. We use genetic algorithm to find optimal layout and then perform Hydraulic. This study uses two cases to validate the proposed model. The first case includes a sewer system with 7 manholes. The proposed model can always find the true optimal design by comparing with Exhaustive enumeration. The second case includes 40 manholes. Where the rain rate is assumed stochastic. This model can find the optimal under specific condition levels. I-tung Yang 楊亦東 2009 學位論文 ; thesis 62 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣科技大學 === 營建工程系 === 97 === Storm sewer system is important construction in the modern city, and it is the norm of hygienic condition、quality of life、development of nation. In recent years, the climatic changes an too radical. So rain rate cannot be forecasted with full certainly. Traditionally, the design of Storm sewer system maybe time-consuming and less than lost-effective. But now we can use computer and optimal algorithms to facilitate the design of Storm sewer system. This study uses genetic algorithms to help constructer plan and design the Storm sewer system. The chromosome design represents a kind of system layout. We use genetic algorithm to find optimal layout and then perform Hydraulic. This study uses two cases to validate the proposed model. The first case includes a sewer system with 7 manholes. The proposed model can always find the true optimal design by comparing with Exhaustive enumeration. The second case includes 40 manholes. Where the rain rate is assumed stochastic. This model can find the optimal under specific condition levels.
author2 I-tung Yang
author_facet I-tung Yang
Hsien-wen Chuang
莊賢文
author Hsien-wen Chuang
莊賢文
spellingShingle Hsien-wen Chuang
莊賢文
Application of Genetic Algorithms in Storm Sewer System Design
author_sort Hsien-wen Chuang
title Application of Genetic Algorithms in Storm Sewer System Design
title_short Application of Genetic Algorithms in Storm Sewer System Design
title_full Application of Genetic Algorithms in Storm Sewer System Design
title_fullStr Application of Genetic Algorithms in Storm Sewer System Design
title_full_unstemmed Application of Genetic Algorithms in Storm Sewer System Design
title_sort application of genetic algorithms in storm sewer system design
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/69089569690726384631
work_keys_str_mv AT hsienwenchuang applicationofgeneticalgorithmsinstormsewersystemdesign
AT zhuāngxiánwén applicationofgeneticalgorithmsinstormsewersystemdesign
AT hsienwenchuang jīyīnyǎnsuànfǎzàiguǎnwǎngxìtǒngguīhuàshèjìzhīyīngyòng
AT zhuāngxiánwén jīyīnyǎnsuànfǎzàiguǎnwǎngxìtǒngguīhuàshèjìzhīyīngyòng
_version_ 1718254246734856192