1 citations · 1 across the 4 of their papers we have counts for
4 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…
Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems
Maryam Karimi Mamaghan, Mehrdad Mohammadi, Wout Dullaert +2
This study develops a framework based on reinforcement learning to dynamically manage a large portfolio of search operators within meta-heuristics. Using the idea of tabu search, t…
Very large-scale neighborhood search for drone routing with energy replenishment
Catherine Lorenz, Nicola Mimmo, Alena Otto +1
The Drone Routing Problem with Energy replenishment (DRP-E) belongs to a general class of routing problems with intermediate stops and synchronization constraints. In DRP-E, the dr…