3 papers
math.OC2024
Qualitative Analysis and Adaptive Boosted DCA for Generalized Multi-Source Weber Problems
Vo Si Trong Long, Nguyen Mau Nam, Tuyen Tran +1
This paper has two primary objectives. First, we investigate fundamental qualitative properties of the generalized multi-source Weber problem formulated using the Minkowski gauge f…
math.OC2023
The Boosted DC Algorithm for Clustering with Constraints
Tuyen Tran, Kate Figenschou, Phan Tu Vuong
This paper aims to investigate the effectiveness of the recently proposed Boosted Difference of Convex functions Algorithm (BDCA) when applied to clustering with constraints and se…
math.OC2019
Solving a Continuous Multifacility Location Problem by DC Algorithms
Anuj Bajaj, Boris Mordukhovich, Nguyen Mau Nam +1
The paper presents a new approach to solve multifacility location problems, which is based on mixed integer programming and algorithms for minimizing differences of convex (DC) fun…