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Genetic algorithms for water quality management in an urban watershed

Published: 07 July 2007 Publication History

Abstract

This paper describes the use of genetic algorithms for water quality management in an urban watershed. This is achieved by linking a genetic algorithm-based optimization model in a disaggregated manner with a water quality simulation model.

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  • (2015)Use of Artificial Neural Networks and Genetic Algorithms in Urban Water Management: A Brief OverviewJournal AWWA10.5942/jawwa.2015.107.0073107:5(93-97)Online publication date: May-2015

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  1. Genetic algorithms for water quality management in an urban watershed

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      cover image ACM Conferences
      GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
      July 2007
      2313 pages
      ISBN:9781595936974
      DOI:10.1145/1276958

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 07 July 2007

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      Author Tags

      1. genetic algorithms
      2. integrated watershed management
      3. optimization
      4. simulation models
      5. water quality modeling

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      GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
      Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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      Cited By

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      • (2015)Use of Artificial Neural Networks and Genetic Algorithms in Urban Water Management: A Brief OverviewJournal AWWA10.5942/jawwa.2015.107.0073107:5(93-97)Online publication date: May-2015

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