A generalized multiobjective particle swarm optimization solver for spreadsheet models: application to water quality
Date
2006
Authors
Baltar, Alexandre M., author
Fontane, Darrell G., author
Colorado State University, publisher
Journal Title
Journal ISSN
Volume Title
Abstract
This 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.
Description
2006 annual AGU hydrology days was held at Colorado State University on March 20 - March 22, 2006.
Includes bibliographical references.
Includes bibliographical references.