8 citations · 26 across the 9 of their papers we have counts for
9 papers
Neural Embedded Mixed-Integer Optimization for Location-Routing Problems
Waquar Kaleem, Doyoung Lee, Changhyun Kwon +1
We present a framework that combines machine learning with mixed-integer optimization to solve the Capacitated Location-Routing Problem (CLRP), a classical NP-hard problem that int…
A Hybrid Genetic Algorithm for the min-max Multiple Traveling Salesman Problem
Sasan Mahmoudinazlou, Changhyun Kwon
This paper proposes a hybrid genetic algorithm for solving the Multiple Traveling Salesman Problem (mTSP) to minimize the length of the longest tour. The genetic algorithm utilizes…
A Neural Separation Algorithm for the Rounded Capacity Inequalities
Hyeonah Kim, Jinkyoo Park, Changhyun Kwon
The cutting plane method is a key technique for successful branch-and-cut and branch-price-and-cut algorithms that find the exact optimal solutions for various vehicle routing prob…
A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone
Sasan Mahmoudinazlou, Changhyun Kwon
There are emerging transportation problems known as the Traveling Salesman Problem with Drone (TSPD) and the Flying Sidekick Traveling Salesman Problem (FSTSP) that involve using a…
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
Aigerim Bogyrbayeva, Taehyun Yoon, Hanbum Ko +3
Reinforcement learning has recently shown promise in learning quality solutions in many combinatorial optimization problems. In particular, the attention-based encoder-decoder mode…
A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems
Aigerim Bogyrbayeva, Sungwook Jang, Ankit Shah +2
This paper proposes a reinforcement learning approach for nightly offline rebalancing operations in free-floating electric vehicle sharing systems (FFEVSS). Due to sparse demand in…