RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark F Berto, C Hua, J Park, L Luttmann, Y Ma, F Bu, J Wang, H Ye, M Kim, ... https://arxiv.org/abs/2306.17100, 2024 | 8 | 2024 |
The green vehicle routing problem with dynamic speed on steep roads J Xiao, X Liu, H Zhang, Z Cao, L Kang, Y Niu Computers & Operations Research, 2024 | | 2024 |
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios YL Goh, Z Cao, Y Ma, Y Dong, MH Dupty, WS Lee 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2024 | | 2024 |
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts J Zhou, Z Cao, Y Wu, W Song, Y Ma, J Zhang, C Xu International Conference on Machine Learning (ICML), 2024 | 4 | 2024 |
Adaptive Stabilization Based on Machine Learning for Column Generation Y Shen, Y Sun, X Li, Z Cao, A Eberhard, G Zhang International Conference on Machine Learning (ICML), 2024 | | 2024 |
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem C Zhang, Z Cao, Y Wu, W Song, J Sun The Conference on Uncertainty in Artificial Intelligence (UAI), 2024 | 1 | 2024 |
Cross-Problem Learning for Solving Vehicle Routing Problems Z Lin, Y Wu, B Zhou, Z Cao, W Song, Y Zhang, S Jayavelu International Joint Conference on Artificial Intelligence (IJCAI), 2024 | 2 | 2024 |
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution H Guo, Y Ma, Z Ma, J Chen, X Zhang, Z Cao, J Zhang, YJ Gong IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 | 2 | 2024 |
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation Z Ma, H Guo, J Chen, G Peng, Z Cao, Y Ma, YJ Gong arXiv preprint arXiv:2403.01131, 2024 | 3 | 2024 |
Dynamic Algorithm Selection via Reinforcement Learning: A Case Study on Differential Evolution H Guo, Y Ma, Z Ma, J Chen, X Zhang, Z Cao, Y Gong, J Zhang IEEE Transactions on Systems, Man and Cybernetics: Systems, 2024 | | 2024 |
Reevo: Large language models as hyper-heuristics with reflective evolution H Ye, J Wang, Z Cao, G Song arXiv preprint arXiv:2402.01145, 2024 | 8 | 2024 |
Deep Reinforcement Learning for Solving Vehicle Routing Problems with Backhauls C Wang, Z Cao, Y Wu, L Teng, G Wu IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
Conditional Neural Heuristic for Multi-objective Vehicle Routing Problems M Fan, Y Wu, Z Cao, W Song, G Sartoretti, H Liu, G Wu IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
SEGAC: Sample Efficient Generalized Actor Critic for the Stochastic On-Time Arrival Problem H Guo, Z He, W Sheng, Z Cao, Y Zhou, W Gao IEEE Transactions on Intelligent Transportation Systems, 2024 | 1 | 2024 |
DL-DRL: A double-layer deep reinforcement learning approach for large-scale task scheduling of multi-UAV X Mao, G Wu, M Fan, Z Cao, W Pedrycz IEEE Transactions on Automation Science and Engineering, 2024 | 3 | 2024 |
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling C Zhang, Z Cao, W Song, Y Wu, J Zhang International Conference on Learning Representations (ICLR), 2024 | 4 | 2024 |
Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems Y Wu, M Fan, Z Cao, R Gao, Y Hou, G Sartoretti 23rd International Conference on Autonomous Agents and Multi-Agent Systems …, 2024 | 1 | 2024 |
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real Time H Ye, J Wang, H Liang, Z Cao, Y Li, F Li 38th AAAI Conference on Artificial Intelligence (AAAI), 2024 | 12 | 2024 |
Cooperative Trucks and Drones for Rural Last-Mile Delivery with Steep Roads J Xiao, Y Li, Z Cao, J Xiao Computers & Industrial Engineering, 2023 | 5 | 2023 |
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning Z Ma, H Guo, J Chen, Z Li, G Peng, Y Gong, Y Ma, Z Cao Advances in Neural Information Processing Systems (NeurIPS), 2023 | 4 | 2023 |