Multi-objective evolutionary algorithms for cost-effective management of ecosystem services in a watershed

E. G. Bekele, J. W. Nicklow

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The multiseasonal land uses and tillage practices that most cost-effectively produce improved ecosystem services within a watershed and ultimately enable examination of the tradeoffs between commodity production and generation of those services are discussed. To solve multi-objective problem, an optimal control computational model is developed by interfacing a widely used distributed watershed model with a Pareto-based multi-objective evolutionary algorithm known as the Strength Pareto Evolutionary Algorithm (SPEA). The model is applied to the Big Creek watershed in southern Illinois. The methodology is effective in identifying a set of optimal solutions and gives the user access to important information regarding tradeoffs among competing objectives.

Original languageEnglish (US)
Title of host publicationProceedings of the 2004 World Water and Environmetal Resources Congress
Subtitle of host publicationCritical Transitions in Water and Environmental Resources Management
EditorsG. Sehlke, D.F. Hayes, D.K. Stevens
Pages1810-1819
Number of pages10
StatePublished - 2004
Externally publishedYes
Event2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management - Salt Lake City, UT, United States
Duration: Jun 27 2004Jul 1 2004

Publication series

NameProceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management

Other

Other2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management
Country/TerritoryUnited States
CitySalt Lake City, UT
Period6/27/047/1/04

ASJC Scopus subject areas

  • General Engineering

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