4 citations · 8 across the 5 of their papers we have counts for
5 papers
Edge-Selector Model Applied for Local Search Neighborhood for Solving Vehicle Routing Problems
Bachtiar Herdianto, Romain Billot, Flavien Lucas +2
This research proposes a hybrid Machine Learning and metaheuristic mechanism that is designed to solve Vehicle Routing Problems (VRPs). The main of our method is an edge solution s…
Hybrid Node-Destroyer Model with Large Neighborhood Search for Solving the Capacitated Vehicle Routing Problem
Bachtiar Herdianto, Romain Billot, Flavien Lucas +2
In this research, we propose an iterative learning hybrid optimization solver developed to strengthen the performance of metaheuristic algorithms in solving the Capacitated Vehicle…
Study of Robust Features in Formulating Guidance for Heuristic Algorithms for Solving the Vehicle Routing Problem
Bachtiar Herdianto, Romain Billot, Flavien Lucas +1
The Vehicle Routing Problem (VRP) is a complex optimization problem with numerous real-world applications, mostly solved using metaheuristic algorithms due to its -Ha…
Feature-Guided Metaheuristic with Diversity Management for Solving the Capacitated Vehicle Routing Problem
Bachtiar Herdianto, Romain Billot, Flavien Lucas +1
We propose a feature-based guidance mechanism to enhance metaheuristic algorithms for solving the Capacitated Vehicle Routing Problem (CVRP). This mechanism leverages an Explainabl…
Instance generation tool for on-demand transportation problems
Michell Queiroz, Flavien Lucas, Kenneth Sorensen
We present REQreate, a tool to generate instances for on-demand transportation problems. Such problems consist of optimizing the routes of vehicles according to passengers' demand…