5 papers
A Heuristic Framework of Variable Neighborhood Descent Methods for the Large-Scale Multi-Level Facility Location Problem in Supply Chain Networks
Haibo Wang, Bahram Alidaee
This paper addresses the single-assignment, uncapacitated, multi-level facility location (MFL) problem, a strategic decision-making process critical to the design of long-term supp…
Efficient Local and Tabu Search Strategies for Large-Scale Quadratic Integer Programming
Haibo Wang, Bahram Alidaee
This study investigates the area of general quadratic integer programming (QIP), encompassing both unconstrained (UQIP) and constrained (CQIP) variants. These NP-hard problems have…
Enhancing supply chain security with automated machine learning
Haibo Wang, Lutfu S. Sua, Bahram Alidaee
The increasing scale and complexity of global supply chains have led to new challenges spanning various fields, such as supply chain disruptions due to long waiting lines at the po…
Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
Bahram Alidaee, Haibo Wang, Lutfu Sua +1
Numerous established machine learning models and various neural network architectures can be restructured as Quadratic Unconstrained Binary Optimization (QUBO) problems. A signific…
Multilevel Facility Location Optimization: A Novel Integer Programming Formulation and Approaches to Heuristic Solutions
Bahram Alidaee, Haibo Wang
We attack the 4-level facility location problem (4L-FLP), a critical component in supply chains. Foundational tasks here involve selecting markets, plants, warehouses, and distribu…