Stochastic approximation for uncapacitated assortment optimization under the multinomial logit model

DOI10.1002/nav.22068WikidataQ114235455 ScholiaQ114235455MaRDI QIDQ6051595

Arnoud V. den Boer, Yannik Peeters

Publication date: 20 October 2023

Published in: Naval Research Logistics (NRL) (Search for Journal in Brave)

zbMATH Keywords

stochastic approximationincomplete informationassortment optimizationmultinomial logit model

Mathematics Subject Classification ID

Stochastic programming (90C15)

Cites Work

• Unnamed Item
• A note on a tight lower bound for capacitated MNL-bandit assortment selection models
• Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint
• Dynamic Assortment Personalization in High Dimensions
• Revenue Management Under a General Discrete Choice Model of Consumer Behavior
• Optimal Policy for Dynamic Assortment Planning Under Multinomial Logit Models
• MNL-Bandit: A Dynamic Learning Approach to Assortment Selection
• A Stochastic Approximation Method

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