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06/26/2023
Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications
The multiple-choice knapsack problem (MCKP) is a classic NP-hard combina...
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06/19/2023
Perturbation-Based Two-Stage Multi-Domain Active Learning
In multi-domain learning (MDL) scenarios, high labeling effort is requir...
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09/22/2022
How Good Is Neural Combinatorial Optimization?
Traditional solvers for tackling combinatorial optimization (CO) problem...
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01/20/2021
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization
Black-box problems are common in real life like structural design, drug ...
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07/27/2019
