A discontinuous derivative-free optimization framework for multi-enterprise supply chain

DOI10.1007/s11590-019-01446-5zbMath1444.90118OpenAlexW2954381944WikidataQ127611601 ScholiaQ127611601MaRDI QIDQ2182779

Marianthi Ierapetritou, Atharv Bhosekar

Publication date: 26 May 2020

Published in: Optimization Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11590-019-01446-5

zbMATH Keywords

sparse gridssupport vector machinesderivative-free optimizationsupply chain optimizationsurrogate-based optimizationdiscontinuous optimization

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Derivative-free methods and methods using generalized derivatives (90C56)

Related Items (3)

A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems ⋮ Escaping Unknown Discontinuous Regions in Blackbox Optimization ⋮ Purposeful cross-validation: a novel cross-validation strategy for improved surrogate optimizability

Uses Software

• NOMAD
• SURROGATES
• EGO
• Scikit
• NLopt
• OPTI
• GitHub

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