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DESDEO: An Open Framework for Interactive Multiobjective Optimization

Authors: Miettinen Kaisa; Ojalehto Vesa;

DESDEO: An Open Framework for Interactive Multiobjective Optimization

Abstract

We introduce a framework for interactive multiobjective optimization methods called DESDEO released under an open source license. With the framework, we want to make interactive methods easily accessible to be applied in solving real-world problems. The framework follows an object-oriented software design paradigm, where functionalities have been divided to modular, self-contained components. The framework contains implementations of some interactive methods, but also components which can be utilized to implement more interactive methods and, thus, increase the applicability of the framework. To demonstrate how the framework can be used, we consider an example problem where the pollution of a river is controlled. To solve this problem with four objectives, we apply two interactive methods called NAUTILUS and NIMBUS and show how the method can be switched during the solution process.

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Keywords

Päätöksen teko monitavoitteisesti, avoin lähdekoodi, optimointi, DESDEO, Decision analytics utilizing causal models and multiobjective optimization, multiobjective optimization, Multiobjective Optimization Group, ongelmanratkaisu, optimization, Laskennallinen tiede, monitavoiteoptimointi, Computational Science

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average
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