Zhenkun Wang

papers

547

total citations

papers (13)

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

ICML 2024arXiv

196

citations

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

NEURIPS 2023arXiv

150

citations

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

ICML 2025arXiv

citations

Multi-Objective Evolution of Heuristic Using Large Language Model

AAAI 2025arXiv

citations

Smooth Tchebycheff Scalarization for Multi-Objective Optimization

ICML 2024arXiv

citations

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems

ICLR 2025

citations

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

ICML 2024arXiv

citations

Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret

AAAI 2024

citations

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

AAAI 2025

citations

Zhenkun Wang

papers (13)

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

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Multi-Objective Evolution of Heuristic Using Large Language Model

Smooth Tchebycheff Scalarization for Multi-Objective Optimization

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems

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

Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret

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

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

papers (13)

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

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Multi-Objective Evolution of Heuristic Using Large Language Model

Smooth Tchebycheff Scalarization for Multi-Objective Optimization

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems

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

Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret

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

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