Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems

Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems

(2021) Kaiwen Li et al.   IEEE Transactions on Cybernetics

Machine Learning for Combinatorial Optimization: a Methodological Tour d’Horizon

(2020) Yoshua Bengio et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Significant Sampling for Shortest Path Routing: A Deep Reinforcement Learning Solution

(2020) Yulin Shao et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs

(2020) Yujiao Hu et al.   KNOWLEDGE-BASED SYSTEMS

Real-time neural network scheduling of emergency medical mask production during COVID-19

(2020) Chen-Xin Wu et al.   APPLIED SOFT COMPUTING

A Comprehensive Survey on Graph Neural Networks

(2020) Zonghan Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

Step-Wise Deep Learning Models for Solving Routing Problems

(2020) Liang Xin et al.   IEEE Transactions on Industrial Informatics

Deep Reinforcement Learning for Multiobjective Optimization

(2020) Kaiwen Li et al.   IEEE Transactions on Cybernetics

Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem

(2020) Liang Feng et al.   IEEE Transactions on Cybernetics

A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems

(2019) Maria Amélia Lopes Silva et al.   EXPERT SYSTEMS WITH APPLICATIONS

The Collaborative Local Search Based on Dynamic-Constrained Decomposition With Grids for Combinatorial Multiobjective Optimization

(2019) Xinye Cai et al.   IEEE Transactions on Cybernetics

Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking

(2019) Liang Feng et al.   IEEE Transactions on Cybernetics

A Two-Stage Multiobjective Evolutionary Algorithm for Multiobjective Multidepot Vehicle Routing Problem With Time Windows

(2018) Jiahai Wang et al.   IEEE Transactions on Cybernetics

A hybrid algorithm using a genetic algorithm and multiagent reinforcement learning heuristic to solve the traveling salesman problem

(2017) Mir Mohammad Alipour et al.   NEURAL COMPUTING & APPLICATIONS

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Solving the traveling salesman problem based on the genetic simulated annealing ant colony system with particle swarm optimization techniques

(2011) Shyi-Ming Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Study of genetic algorithm with reinforcement learning to solve the TSP

(2008) Fei Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS