Abstract
This paper describes applying a new EMO algorithm for a real-world optimization problem arising from wastewater treatment. In addition, the results are compared to the ones obtained by applying the interactive multiobjective optimization tool IND-NIMBUS to the same problem. How the comparison should be made is not self-evident but we try to highlight the pros and cons of both the evolutionary multiobjective optimization and the multiple criteria decision making fields in the context of the wastewater treatment plant design problem considered. © Springer-Verlag 2009.
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CITATION STYLE
Hakanen, J., & Aittokoski, T. (2010). Comparison of MCDM and EMO approaches in wastewater treatment plant design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5467 LNCS, pp. 350–364). https://doi.org/10.1007/978-3-642-01020-0_29
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