Genetic algorithms for water quality management in an urban watershed

Mohammad Tufail, Lindell E. Ormsbee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of GECCO 2007
Subtitle of host publicationGenetic and Evolutionary Computation Conference
Pages2267
Number of pages1
DOIs
StatePublished - 2007
Event9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007 - London, United Kingdom
Duration: Jul 7 2007Jul 11 2007

Publication series

NameProceedings of GECCO 2007: Genetic and Evolutionary Computation Conference

Conference

Conference9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007
Country/TerritoryUnited Kingdom
CityLondon
Period7/7/077/11/07

Keywords

  • Genetic algorithms
  • Integrated watershed management
  • Optimization
  • Simulation models
  • Water quality modeling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Theoretical Computer Science

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