Multiple kernel learning-aided robust optimization: learning algorithm, computational tractability, and usage in multi-stage decision-making
type: Item
instance of: scholarly article
title: Multiple kernel learning-aided robust optimization: learning algorithm, computational tractability, and usage in multi-stage decision-making
zbMATH Open document ID: 1487.90498
author: Biao Han
author: Chao Shang
author: Dexian Huang
published in: European Journal of Operational Research
publication date: 2021-06-07T00:00:00Z
Mathematics Subject Classification ID: 90C15
Mathematics Subject Classification ID: 90C05
Mathematics Subject Classification ID: 90C17
Mathematics Subject Classification ID: 90C31
zbMATH DE Number: 7355989
zbMATH Keywords: uncertainty modelling
zbMATH Keywords: robust optimization
zbMATH Keywords: uncertainty set
zbMATH Keywords: multiple kernel learning
zbMATH Keywords: data-driven decision-making
describes a project that uses: SHOGUN
describes a project that uses: BRMaximin
describes a project that uses: CVX
describes a project that uses: SimpleMKL
describes a project that uses: ROME
describes a project that uses: LIBSVM
describes a project that uses: SpicyMKL
describes a project that uses: EasyMKL
MaRDI profile type: Publication
full work available at URL: j.ejor.2020.11.027
OpenAlex ID: W3107323290
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DOI: 10.1016/J.EJOR.2020.11.027
description: scientific article; zbMATH DE number 7355989