Cover Image

Outer Approximation and Super-modular Cuts for Constrained Assortment Optimization under Mixed-Logit Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pham, Hoang Giang, Mai, Tien
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Constrained Assortment and Price Optimization under Generalized Nested Logit Models
by: Pham, Hoang Giang, et al.
Published: (2025)

Constrained Pricing under Finite Mixtures of Logit
by: Pham, Hoang Giang, et al.
Published: (2026)

On the Estimation of Multinomial Logit and Nested Logit Models: A Conic Optimization Approach
by: Pham, Hoang Giang, et al.
Published: (2025)

Assortment Optimization under the Multinomial Logit Model with Covering Constraints
by: Housni, Omar El, et al.
Published: (2024)

Price and Assortment Optimization under the Multinomial Logit Model with Opaque Products
by: Housni, Omar El, et al.
Published: (2025)

A Quantum Model for Constrained Markowitz Modern Portfolio Using Slack Variables to Process Mixed-Binary Optimization under QAOA
by: Thomassin, Pablo, et al.
Published: (2025)

Competitive Facility Location under Cross-Nested Logit Customer Choice Model: Hardness and Exact Approaches
by: Le, Ba Luat, et al.
Published: (2024)

Assortment Optimization and the Sample Average Approximation
by: Khalid, Hassaan, et al.
Published: (2025)

Joint Binary-Continuous Fractional Programming: Solution Methods and Applications
by: Pham, Hoang Giang, et al.
Published: (2022)

Assortment Optimization under the Decision Forest Model
by: Akchen, Yi-Chun, et al.
Published: (2021)

WANCO: Weak Adversarial Networks for Constrained Optimization problems
by: Bao, Gang, et al.
Published: (2024)

Maximum Load Assortment Optimization: Approximation Algorithms and Adaptivity Gaps
by: Housni, Omar El, et al.
Published: (2023)

Learning to Cut: Reinforcement Learning for Benders Decomposition
by: Cai, Haochen, et al.
Published: (2026)

Assortment Optimization with Visibility Constraints
by: Barre, Theo, et al.
Published: (2023)

Addressing Unboundedness in Quadratically-Constrained Mixed-Integer Problems
by: Zepko, Guy, et al.
Published: (2024)

MiMuon: Mixed Muon Optimizer with Improved Generalization for Large Models
by: Huang, Feihu, et al.
Published: (2026)

A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial Optimization
by: Nath, Ankur, et al.
Published: (2024)

Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
by: Liu, Changrui, et al.
Published: (2025)

PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs
by: Turner, Mark, et al.
Published: (2023)

Intersectional Fairness via Mixed-Integer Optimization
by: Němeček, Jiří, et al.
Published: (2026)

Double Momentum Method for Lower-Level Constrained Bilevel Optimization
by: Shi, Wanli, et al.
Published: (2024)

HoP: Homeomorphic Polar Learning for Hard Constrained Optimization
by: Deng, Ke, et al.
Published: (2025)

Robust Maximum Capture Facility Location under Random Utility Maximization Models
by: Ta, Anh Thuy, et al.
Published: (2021)

Two-sided Assortment Optimization: Adaptivity Gaps and Approximation Algorithms
by: Housni, Omar El, et al.
Published: (2024)

BAGEL: Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization
by: Lu, Yiyang, et al.
Published: (2025)

Welfare Maximization Algorithm for Solving Budget-Constrained Multi-Component POMDPs
by: Vora, Manav, et al.
Published: (2023)

Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs
by: Rozada, Sergio, et al.
Published: (2024)

Exploiting Edited Large Language Models as General Scientific Optimizers
by: Lv, Qitan, et al.
Published: (2025)

Using Laplace Transform To Optimize the Hallucination of Generation Models
by: Kang, Cheng, et al.
Published: (2026)

Assortment Optimization Under History-Dependent Effects
by: He, Taotao, et al.
Published: (2024)

Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling
by: Zhu, Feng, et al.
Published: (2025)

FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
by: Li, Hongpei, et al.
Published: (2025)

Constrained Pricing in Choice-based Revenue Management
by: Shao, Qian, et al.
Published: (2025)

Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
by: Ye, Tinghan, et al.
Published: (2026)

Approximate Information States for Worst-Case Control and Learning in Uncertain Systems
by: Dave, Aditya, et al.
Published: (2023)

Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)

Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
by: Chen, Lizhang, et al.
Published: (2023)

Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients
by: Alvo, Matias, et al.
Published: (2026)

OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM
by: Zhang, Bowen, et al.
Published: (2025)

The Value of Robust Assortment Optimization Under Ranking-based Choice Models
by: Sturt, Bradley
Published: (2021)