3 papers
cs.AI2026
Enhancing Cross-Problem Vehicle Routing via Federated Learning
Xiangchi Meng, Jianan Zhou, Jie Gao +4
Vehicle routing problems (VRPs) constitute a core optimization challenge in modern logistics and supply chain management. The recent neural combinatorial optimization (NCO) has dem…
cs.MA2026
GRASP: Gradient Realignment via Active Shared Perception for Multi-Agent Collaborative Optimization
Sihan Zhou, Tiantian He, Yifan Lu +2
Non-stationarity arises from concurrent policy updates and leads to persistent environmental fluctuations. Existing approaches like Centralized Training with Decentralized Executio…
cs.NE2025
Evolutionary Computation as Natural Generative AI
Yaxin Shi, Abhishek Gupta, Ying Wu +7
Generative AI (GenAI) has achieved remarkable success across a range of domains, but its capabilities remain constrained to statistical models of finite training sets and learning…