Zhenkun Wang

11

Papers

69

Total Citations

Papers (11)

Multi-Objective Evolution of Heuristic Using Large Language Model

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization

Destroy and Repair Using Hyper-Graphs for Routing

Learning to Insert for Constructive Neural Vehicle Routing Solver

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization

Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems

Smooth Tchebycheff Scalarization for Multi-Objective Optimization