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2019 | OriginalPaper | Chapter

Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

Authors : Jussi Hakanen, Jose Malmberg, Vesa Ojalehto, Kyle Eyvindson

Published in: Machine Learning, Optimization, and Data Science

Publisher: Springer International Publishing

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Abstract

In this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization to reduce the size of the optimization problem in the decision space. The surrogate is combined with an interactive multiobjective optimization approach and it is applied to forest management planning with promising results.

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Title: Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space
Authors: Jussi Hakanen
Jose Malmberg
Vesa Ojalehto
Kyle Eyvindson
Publisher: Springer International Publishing
Book: Machine Learning, Optimization, and Data Science
Print ISBN: 978-3-030-13708-3

Electronic ISBN: 978-3-030-13709-0

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-13709-0_9

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