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Efficient Meta Neural Heuristic for Multi-Objective Combinatorial
  Optimization

Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization

22 October 2023
Jinbiao Chen
Jiahai Wang
Zizhen Zhang
Zhiguang Cao
Te Ye
Siyuan Chen
ArXivPDFHTML

Papers citing "Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization"

10 / 10 papers shown
Title
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Weiyu Chen
Xiaoyuan Zhang
Baijiong Lin
Xi Victoria Lin
Han Zhao
Qingfu Zhang
James T. Kwok
75
2
0
19 Jan 2025
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
Federico Berto
Chuanbo Hua
Laurin Luttmann
Jiwoo Son
Junyoung Park
Kyuree Ahn
Changhyun Kwon
Lin Xie
Jinkyoo Park
38
1
0
05 Sep 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
68
4
0
01 Jun 2024
On Size and Hardness Generalization in Unsupervised Learning for the
  Travelling Salesman Problem
On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem
Yimeng Min
Carla P. Gomes
32
2
0
29 Mar 2024
Large Language Models as Hyper-Heuristics for Combinatorial Optimization
Large Language Models as Hyper-Heuristics for Combinatorial Optimization
Haoran Ye
Jiarui Wang
Zhiguang Cao
Federico Berto
Chuanbo Hua
Haeyeon Kim
Jinkyoo Park
Guojie Song
42
46
0
02 Feb 2024
Learning to Iteratively Solve Routing Problems with Dual-Aspect
  Collaborative Transformer
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Yining Ma
Jingwen Li
Zhiguang Cao
Wen Song
Le Zhang
Zhenghua Chen
Jing Tang
80
129
0
06 Oct 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and
  Transportation Systems: A Survey
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Zefang Zong
Tao Feng
Tong Xia
Depeng Jin
Yong Li
22
3
0
10 Aug 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
177
639
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,684
0
09 Mar 2017
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
71
1,450
0
29 Nov 2016
1