A machine learning framework for neighbor generation in metaheuristic
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A machine learning framework for neighbor generation in metaheuristic search

22 December 2022

Vincent Perreault

Papers citing "A machine learning framework for neighbor generation in metaheuristic search"

15 / 15 papers shown

Title
Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach Camilo Chacón Sartori Christian Blum Filippo Bistaffa Guillem Rodríguez Corominas AIFin 86 4 0 28 May 2024
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 53 357 0 18 Feb 2021
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie Zhang Puay Siew Tan Chi Xu 100 306 0 23 Oct 2020
Learn to Design the Heuristics for Vehicle Routing Problem Lei Gao Mingxiang Chen Qichang Chen Ganzhong Luo Nuoyi Zhu Zhixin Liu 42 52 0 20 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 366 42,299 0 03 Dec 2019
Learning chordal extensions Defeng Liu Andrea Lodi Mathieu Tanneau 31 7 0 16 Oct 2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi GNN CML 131 483 0 04 Jun 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 200 4,334 0 06 Mar 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 153 1,377 0 15 Nov 2018
Learning to Branch Maria-Florina Balcan Travis Dick Tuomas Sandholm Ellen Vitercik 48 173 0 27 Mar 2018
Reinforcement Learning for Solving the Vehicle Routing Problem M. Nazari Afshin Oroojlooy L. Snyder Martin Takáč 73 902 0 12 Feb 2018
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 155 1,971 0 17 Sep 2017
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 112 2,997 0 07 Aug 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 103 1,460 0 05 Apr 2017
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 143 1,483 0 29 Nov 2016