Repository logo
 

A generalized multiobjective particle swarm optimization solver for spreadsheet models: application to water quality

dc.contributor.authorBaltar, Alexandre M., author
dc.contributor.authorFontane, Darrell G., author
dc.contributor.authorColorado State University, publisher
dc.date.accessioned2020-01-30T15:47:39Z
dc.date.available2020-01-30T15:47:39Z
dc.date.issued2006
dc.description2006 annual AGU hydrology days was held at Colorado State University on March 20 - March 22, 2006.
dc.descriptionIncludes bibliographical references.
dc.description.abstractThis paper presents an application of an evolutionary optimization algorithm for multiobjective analysis of selective withdrawal from a thermally stratified reservoir. A multiobjective particle swarm optimization (MOPSO) algorithm is used to find nondominated (Pareto) solutions when minimizing deviations from outflow water quality targets of: (i) temperature; (ii) dissolved oxygen (DO); (iii) total dissolved solids (TDS); and (iv) potential of hydrogen (pH). The decision variables are the flows through each port in the selective withdrawal structure. The MOPSO algorithm, implemented as an add-in for Excel, is able to find nondominated solutions for any combination of the four abovementioned objectives. An interactive graphical method was also developed to display nondominated solutions in such way that the best compromise solutions can be identified for different relative importance given to each objective. The method allows the decision maker to explore the Pareto set and visualize not only the best compromise solution but also sets of solutions that provide similar compromises.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.urihttps://hdl.handle.net/10217/200637
dc.identifier.urihttp://dx.doi.org/10.25675/10217/200637
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofHydrology Days
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleA generalized multiobjective particle swarm optimization solver for spreadsheet models: application to water quality
dc.title.alternativeHydrology days 2006
dc.title.alternativeAGU hydrology days 2006
dc.typeText

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
CONF_HydroDays_BaltarFontane_2006.pdf
Size:
199.11 KB
Format:
Adobe Portable Document Format