Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space
作者： Jussi Hakanen , Jose Malmberg , Vesa Ojalehto , Kyle Eyvindson
DOI: 10.1007/978-3-030-13709-0_9
关键词:
摘要: In this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization reduce the size of problem decision space. The combined with an interactive approach and it applied forest management planning promising results.
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