5 papers
Learning to Design Convex Relaxations for Nonconvex Optimization
Jinrun Liu, Bai Yan, Tengfei Liu +5
Convex relaxations make nonconvex optimization tractable by replacing hard nonconvex problems with convex surrogates that give valid bounds. Yet their design is still largely manua…
On some nonlinear extensions to Maxwell's electrodynamics
Bertrand Berche, Ernesto Medina
Soon after Maxwell's celebrated synthesis of electrodynamics, the discovery of the electron raised fundamental questions about the nature and structure of elementary particles. The…
GenMRP: A Generative Multi-Route Planning Framework for Efficient and Personalized Real-Time Industrial Navigation
Chengzhang Wang, Chao Chen, Jun Tao +6
Existing industrial-scale navigation applications contend with massive road networks, typically employing two main categories of approaches for route planning. The first relies on…
SCASRec: A Self-Correcting and Auto-Stopping Model for Generative Route List Recommendation
Chao Chen, Longfei Xu, Daohan Su +5
Route recommendation systems commonly adopt a multi-stage pipeline involving fine-ranking and re-ranking to produce high-quality ordered recommendations. However, this paradigm fac…
Automated Metaheuristic Algorithm Design with Autoregressive Learning
Qi Zhao, Tengfei Liu, Bai Yan +3
Automated design of metaheuristic algorithms offers an attractive avenue to reduce human effort and gain enhanced performance beyond human intuition. Current automated methods desi…