| 2023.07 |
Large Language Models for Supply Chain Optimization |
 |
Supply_Chain |
arXiv |
Algorithm w. Interpretability |
| 2023.09 |
Can Language Models Solve Graph Problems in Natural Language? |
 |
Graph |
NeurIPS 2023 |
Solution |
| 2023.09 |
Large Language Models as Optimizers |
 |
TSP |
ICLR 2024 |
Solution |
| 2023.10 |
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems |
 |
MILP |
ICLR 2024 |
Formulation |
| 2023.10 |
OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models |
 |
MILP |
ICML 2024 |
Formulation |
| 2023.10 |
AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling |
 |
JSSP |
arXiv |
Formulation |
| 2023.11 |
Large Language Models as Evolutionary Optimizers |
 |
TSP |
CEC 2024 |
Solution |
| 2023.11 |
Algorithm Evolution Using Large Language Model |
|
TSP |
arXiv |
Algorithm |
| 2023.12 |
Mathematical discoveries from program search with large language models |
 |
BPP |
Nature |
Algorithm |
| 2023.12 |
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes |
 |
TSP,KP, GCP,MSP |
ACL 2024 |
Benchmark |
| 2024.02 |
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution |
 |
TSP,VRP,OP, MKP,BPP,EDA |
NeurIPS 2024 |
Algorithm |
| 2024.02 |
AutoSAT: Automatically Optimize SAT Solvers via Large Language Models |
|
SAT |
arXiv |
Algorithm |
| 2024.02 |
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto |
|
MILP |
arXiv |
Formulation |
| 2024.03 |
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems |
|
VRP |
arXiv |
Solution |
| 2024.03 |
RouteExplainer: An Explanation Framework for Vehicle Routing Problem |
 |
VRP |
PAKDD 2024 |
Interpretability |
| 2024.03 |
Can Large Language Models Solve Robot Routing? |
 |
TSP,VRP |
arXiv |
Algorithm |
| 2024.05 |
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model |
 |
TSP,BPP,FSSP |
ICML 2024 |
Algorithm |
| 2024.05 |
ORLM: Training Large Language Models for Optimization Modeling |
 |
General OPT |
Operations Research |
Formulation |
| 2024.05 |
Self-Guiding Exploration for Combinatorial Problems |
 |
TSP,VRP,BPP, AP,KP,JSSP |
NeurIPS 2024 |
Solution |
| 2024.06 |
Eyeballing Combinatorial Problems: A Case Study of Using Multimodal Large Language Models to Solve Traveling Salesman Problems |
|
TSP |
ISBCom 2024 |
Solution |
| 2024.07 |
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges |
 |
TSP,mTSP |
arXiv |
Solution |
| 2024.07 |
Solving General Natural-Language-Description Optimization Problems with Large Language Models |
 |
MILP |
NAACL 2024 |
Formulation |
| 2024.08 |
Diagnosing Infeasible Optimization Problems Using Large Language Models |
|
MILP |
INFOR |
Formulation |
| 2024.08 |
LLMs can Schedule |
 |
JSSP |
arXiv |
Solution |
| 2024.09 |
Multi-objective Evolution of Heuristic Using Large Language Model |
|
TSP,BPP |
AAAI 2025 |
Algorithm |
| 2024.10 |
Towards Foundation Models for Mixed Integer Linear Programming |
|
MILP |
ICLR 2025 |
Formulation |
| 2024.10 |
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch |
|
General OPT |
ICLR 2025 |
Formulation |
| 2024.10 |
OptiBench: Benchmarking Large Language Models in Optimization Modeling with Equivalence-Detection Evaluation |
|
MILP |
Under Review |
Benchmark |
| 2024.10 |
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling |
|
MILP |
ICLR 2025 |
Benchmark |
| 2024.10 |
DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints |
|
48VRPs |
ICLR 2025 |
Formulation |
| 2024.10 |
STARJOB: Dataset for LLM-Driven Job Shop Scheduling |
|
JSSP |
Under Review |
Solution |
| 2024.10 |
LLM4Solver: Large Language Model for Efficient Algorithm Design of Combinatorial Optimization Solver |
|
MILP |
Under Review |
Algorithm |
| 2024.10 |
Unifying All Species: LLM-based Hyper-Heuristics for Multi-objective Optimization |
|
TSP |
Under Review |
Algorithm |
| 2024.10 |
Evo-Step: Evolutionary Generation and Stepwise Validation for Optimizing LLMs in OR |
|
MILP |
Under Review |
Formulation |
| 2024.10 |
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem |
 |
DyJSSP |
IEEE Trans. Fuzzy Syst. |
Algorithm |
| 2024.11 |
Large Language Models for Combinatorial Optimization of Design Structure Matrix |
|
DSM |
arXiv |
Solution |
| 2024.12 |
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs |
 |
TSP,BPP,OP |
AAAI 2025 |
Algorithm |
| 2024.12 |
Evaluating LLM Reasoning in the Operations Research Domain with ORQA |
 |
General OR |
AAAI 2025 |
Benchmark |
| 2024.12 |
QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution |
 |
OBP,TSP,CSP |
arxiv |
Algorithm |
| 2025.01 |
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design |
 |
TSP,CVRP,KP, BPP,MKP,ASP |
ICML 2025 |
Algorithm |
| 2025.01 |
Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization |
|
Influence Maximization, Network Dismantling |
arXiv |
Algorithm |
| 2025.01 |
Can Large Language Models Be Trusted as Black-Box Evolutionary Optimizers for Combinatorial Problems? |
|
Influence Maximization |
arXiv |
Algorithm |
| 2025.02 |
Improving Existing Optimization Algorithms with LLMs |
|
MIS |
arXiv |
Algorithm |
| 2025.02 |
Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization |
|
TSP,FSSP |
arXiv |
Algorithm |
| 2025.02 |
GraphThought: Graph Combinatorial Optimization with Thought Generation |
|
MIS,MVC,TSP |
arXiv |
Algorithm |
| 2025.02 |
EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations |
 |
MILP |
arXiv |
Algorithm |
| 2025.02 |
ARS: Automatic Routing Solver with Large Language Models |
 |
VRP |
arXiv |
Benchmark & Algorithm |
| 2025.02 |
Text2Zinc: A Cross-Domain Dataset for Modeling Optimization and Satisfaction Problems in MiniZinc |
 |
LP,MIP,CP |
arXiv |
Formulation (Dataset) |
| 2025.02 |
GraphArena: Evaluating and Exploring Large Language Models on Graph Computation |
 |
MVC,MIS,MCP, TSP,MCS,GED |
ICLR 2025 |
Benchmark & Dataset & Model |
| 2025.03 |
Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems |
 |
UPMP |
arXiv |
Algorithm |
| 2025.03 |
OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problem with Reasoning Large Language Model |
 |
OP |
arXiv |
Formulation |
| 2025.03 |
Combinatorial Optimization for All: Using LLMs to Aid Non-Experts in Improving Optimization Algorithms |
  |
TSP |
arXiv |
Algorithm |
| 2025.03 |
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models |
|
MILP |
IROS 2025 |
Formulation |
| 2025.03 |
Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms |
|
BBO,TSP,BPP |
GECCO 2025 |
Interpretability |
| 2025.04 |
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization |
|
General COP |
AAAI 2026 |
Benchmark |
| 2025.04 |
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning |
|
BPP,TSP,FP |
COLM 2025 |
Algorithm |
| 2025.04 |
OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents |
|
MILP |
arXiv |
Formulation |
| 2025.04 |
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search |
|
OBP,TSP, CVRP,VRPTW |
arXiv |
Benchmark & Interpretability |
| 2025.04 |
Large Language Models powered Neural Solvers for Generalized Vehicle Routing Problems |
 |
VRP |
ICLR 2025 Workshop AgenticAI |
Algorithm |
| 2025.05 |
Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models |
 |
TSP,CVRP,BPP, MKP,OP |
KDD 2025 |
Algorithm |
| 2025.05 |
CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design |
|
TSP,KP,OBP,OP |
ICLR 2026 |
Algorithm |
| 2025.05 |
Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design |
|
KP |
arXiv |
Solution |
| 2025.05 |
A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization |
 |
MIS,MDS, TSP,CVRP,CFLP, CPMP,FJSP,STP |
ICML 2025 Workshop AI4Math |
Benchmark |
| 2025.05 |
LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression |
|
SR |
arXiv |
Algorithm |
| 2025.05 |
RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models |
|
TSP,CVRP, KP,BPP,MKP |
arXiv |
Algorithm |
| 2025.05 |
Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization |
|
TSP,CVRP,BPP |
arXiv |
Algorithm |
| 2025.05 |
Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems |
 |
MILP |
ICML 2025 |
Algorithm |
| 2025.05 |
Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling |
 |
General OPT |
NeurIPS 2025 |
Formulation |
| 2025.06 |
LLM-Driven Instance-Specific Heuristic Generation and Selection |
|
OBPP,CVRP |
arXiv |
Algorithm |
| 2025.06 |
ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research |
 |
OR |
ACL 2025 |
Formulation |
| 2025.06 |
EALG: Evolutionary Adversarial Generation of Language Model–Guided Generators for Combinatorial Optimization |
|
TSP,OP |
arXiv |
Algorithm |
| 2025.06 |
CP-Bench: Evaluating Large Language Models for Constraint Modelling |
|
CP |
arXiv |
Benchmark |
| 2025.06 |
REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models |
|
FJSSP |
arXiv |
Algorithm |
| 2025.06 |
HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization |
 |
TSP,SAT |
ICLR 2026 |
Benchmark |
| 2025.06 |
ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering |
  |
General OPT |
NeurIPS 2025 Datasets and Benchmarks Track |
Benchmark |
| 2025.06 |
OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems |
  |
GCP,KP,MCP, MIS,SCP,TSP |
arXiv |
Benchmark |
| 2025.06 |
STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization |
|
SAT |
NeurIPS 2025 |
Solution |
| 2025.06 |
AlphaEvolve: A coding agent for scientific and algorithmic discovery |
 |
OPT |
arXiv |
Algorithm |
| 2025.06 |
OpenEvolve: an open-source evolutionary coding agent |
 |
OPT |
GitHub |
Algorithm |
| 2025.06 |
HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges |
 |
TSP,CVRP,JSSP, MaxCut,MKP |
arXiv |
Algorithm |
| 2025.07 |
Large Language Models for Combinatorial Optimization: A Systematic Review |
|
CO |
arXiv |
Review |
| 2025.07 |
Fine-tuning Large Language Model for Automated Algorithm Design |
|
ASP,TSP,CVRP |
arXiv |
Algorithm |
| 2025.07 |
DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving |
|
MILP |
arXiv |
Algorithm |
| 2025.07 |
MeLA: A Metacognitive LLM-Driven Architecture for Automatic Heuristic Design |
 |
TSP,BPP,ACS |
arXiv |
Algorithm |
| 2025.07 |
Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization |
 |
TSP,CVRP,KP |
AAAI 2026 |
Algorithm |
| 2025.07 |
Automatically discovering heuristics in a complex SAT solver with large language models |
|
SAT |
arXiv |
Algorithm |
| 2025.07 |
Nested-Refinement Metamorphosis: Reflective Evolution for Efficient Optimization of Networking Problems |
|
TSP,MKP,CVRP |
ACL 2025 |
Algorithm |
| 2025.08 |
ReflecSched: Solving Dynamic Flexible Job-Shop Scheduling via LLM-Powered Hierarchical Reflection |
|
DFJSP |
arxiv |
Solution |
| 2025.08 |
OptiHive: Ensemble Selection for LLM-Based Optimization via Statistical Modeling |
|
MDVRP,WSCP |
arxiv |
Formulation |
| 2025.08 |
EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Design |
|
OBP,TSP,CVRP |
AAAI 2026 |
Algorithm |
| 2025.08 |
X-evolve: Solution space evolution powered by large language models |
|
CSP,BPP, Shannon capacity |
arxiv |
Algorithm |
| 2025.08 |
EvoCut: Strengthening Integer Programs via Evolution-Guided Language Models |
 |
MILP |
arxiv |
Formulation |
| 2025.08 |
HIFO-PROMPT: Prompting with Hindsight and Foresight For LLM-Based Automatic Heuristic Design |
|
TSP,OBP,FSSP |
ICLR 2026 |
Algorithm |
| 2025.08 |
MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework |
 |
TSP,CVRP,OP,BPP,MKP |
AAAI 2026 |
Algorithm |
| 2025.09 |
LLM-QUBO: An End-to-End Framework for Automated QUBO Transformation from Natural Language Problem Descriptions |
|
MILP |
arxiv |
Formulation |
| 2025.09 |
AutoPBO: LLM-powered Optimization for Local Search PBO Solvers |
|
PBO |
arxiv |
Solution |
| 2025.09 |
Autonomous Code Evolution MeetsNP-Completeness |
|
SAT |
arxiv |
Solution |
| 2025.09 |
LLM-based Instance-driven Heuristic Bias in the Context of a Biased Random Key Genetic Algorithm |
|
LRS |
arxiv |
Algorithm |
| 2025.09 |
Learn to Relax with Large Language Models: Solving Nonlinear Combinatorial Optimization Problems via Bidirectional Coevolution |
|
MDD,SFL,TSPTW |
arxiv |
Algorithm |
| 2025.09 |
DaSAThco: Data-Aware SAT Heuristics Combinations Optimization via Large Language Models |
|
SAT |
arxiv |
Algorithm |
| 2025.09 |
Large Language Models as End-to-end Combinatorial Optimization Solvers |
 |
TSP,OP,CVRP, MIS,MVC,PFSP,JSSP |
NeurIPS 2025 |
Solution |
| 2025.09 |
Large Language Models and Operations Research: A Structured Survey |
|
OR |
arxiv |
Review |
| 2025.09 |
ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution |
 |
OPT |
ICLR 2026 |
Algorithm |
| 2025.09 |
StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models |
|
OR |
arxiv |
Formulation |
| 2025.09 |
OptiMind: Teaching LLMs to Think Like Optimization Experts |
|
MILP |
arxiv |
Formulation |
| 2025.09 |
AutoEP: LLMs-Driven Automation of Hyperparameter Evolution for Metaheuristic Algorithms |
|
TSP,CVRP,FSSP |
ICLR 2026 |
Algorithm |
| 2025.09 |
ViTSP: A Vision Language Models Guided Framework for Large-Scale Traveling Salesman Problems |
|
TSP |
arxiv |
Algorithm |
| 2025.09 |
Experience-guided reflective co-evolution of prompts and heuristics for automatic algorithm design |
|
TSP,BPP |
arxiv |
Algorithm |
| 2025.10 |
EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics |
|
DFJSS |
arxiv |
Algorithm |
| 2025.10 |
VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems |
 |
VRP |
arxiv |
Algorithm |
| 2025.10 |
Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM |
|
CVRP |
arxiv |
Algorithm |
| 2025.10 |
CodeEvolve: an open source evolutionary coding agent for algorithm discovery and optimization |
 |
OPT |
arXiv |
Algorithm |
| 2025.10 |
An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems |
|
VRP |
arxiv |
Formulation |
| 2025.10 |
OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling |
 |
OR |
NeurIPS 2025 |
Formulation |
| 2025.10 |
Glia: A Human-Inspired AI for Automated Systems Design and Optimization |
|
Systems routing + scheduling |
arxiv |
Algorithm |
| 2025.10 |
Discovering Heuristics with Large Language Models (LLMs) for Mixed-Integer Programs: Single-Machine Scheduling |
|
SMTT |
arxiv |
Algorithm |
| 2025.11 |
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation |
 |
TSP,CVRP |
AAAI 2026 |
Algorithm |
| 2025.11 |
irace-evo: Automatic Algorithm Configuration Extended With LLM-Based Code Evolution |
|
VSBPP |
arxiv |
Algorithm |
| 2025.11 |
LLM4EO: Large Language Model for Evolutionary Optimization in Flexible Job Shop Scheduling |
|
FJSP |
arxiv |
Algorithm |
| 2025.11 |
ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention |
|
FSSP,JSSP,BPP, KP,TSP,VRP |
Under Review |
Solution & Benchmark |
| 2025.11 |
AutoFloorplan: Evolving Heuristics for Chip Floorplanning with Large Language Models and Textual Gradient-Guided Repair |
|
Floorplanning |
Under Review |
Algorithm |
| 2025.11 |
TPD-AHD: Textual Preference Differentiation for LLM-Based Automatic Heuristic Design |
|
TSP,CVRP,JSSP, MKP, VRP,MASP,CFLP |
Under Review |
Algorithm |
| 2025.11 |
ALIGNING LLMS WITH GRAPH NEURAL SOLVERS FOR COMBINATORIAL OPTIMIZATION |
|
TSP,CVRP,KP, MVCP,MISP |
Under Review |
Algorithm |
| 2025.11 |
Large Language Model Guided Dynamic Branching Rule Scheduling in Branch-and-Bound |
|
MILP |
Under Review |
Algorithm |
| 2025.11 |
Online Algorithm Configuration for MILP Re-Optimization with LLM Guidance |
|
MILP |
Under Review |
Algorithm |
| 2025.11 |
Experience-Guided Reflective Co-Evolution of Prompts and Heuristics for Automatic Algorithm Design |
|
TSP, BPP |
Under Review |
Algorithm |
| 2025.11 |
Adversarial examples for heuristics in combinatorial optimization: An LLM based approach |
|
KP,BPP |
Under Review |
Algorithm |
| 2025.11 |
Rethinking Code Similarity for Automated Algorithm Design with LLMs |
|
ASP,TSP,CPP |
ICLR 2026 |
Algorithm |
| 2025.11 |
AutoMOAE: Multi-Objective Auto-Algorithm Evolution |
|
GCP,TSP |
Under Review |
Algorithm |
| 2025.11 |
Fusing LLMs with Scientific Literature for Heuristic Discovery |
|
TSP |
Under Review |
Algorithm |
| 2025.11 |
Cognitively Inspired Reflective Evolution: Interactive Multi-Turn LLM–EA Synthesis of Heuristics for Combinatorial Optimization |
|
TSP,BPP |
Under Review |
Algorithm |
| 2025.11 |
Hierarchical Representations for Cross-task Automated Heuristic Design using LLMs |
|
TSP,CVRP,FSSP, BPP,ASP |
Under Review |
Algorithm |
| 2025.11 |
ThetaEvolve: Test-time Learning on Open Problems |
|
HadamardMatrix, CirclePacking |
arxiv |
Algorithm |
| 2025.11 |
Leveraging large language models for efficient scheduling in Human–Robot collaborative flexible manufacturing systems |
|
DFJSP |
npj Adv. Manuf. |
Algorithm |
| 2025.12 |
RoCo: Role-Based LLMs Collaboration for Automatic Heuristic Design |
|
TSP,OP,CVRP, MKP,offline BPP |
arxiv |
Algorithm |
| 2025.12 |
CogMCTS: A Novel Cognitive-Guided Monte Carlo Tree Search Framework for Iterative Heuristic Evolution with Large Language Models |
|
TSP,OP,CVRP, MKP,KP |
arxiv |
Algorithm |
| 2025.12 |
Behavior and Representation in Large Language Models for Combinatorial Optimization: From Feature Extraction to Algorithm Selection |
|
BP,GCP,JSP,KP |
arxiv |
Analysis |
| 2025.12 |
LAPPI: Interactive Optimization with LLM-Assisted Preference-Based Problem Instantiation |
|
TSP,OP |
arxiv |
Formulation |
| 2026.01 |
DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial Optimization |
|
TSP,CVRP, BPP,MKP |
arxiv |
Algorithm |
| 2026.01 |
LLM-Assisted Automatic Dispatching Rule Design for Dynamic Flexible Assembly Flow Shop Scheduling |
|
Dynamic FAFSP |
arxiv |
Algorithm |
| 2026.01 |
Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization |
|
MOCP |
arxiv |
Algorithm |
| 2026.01 |
Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search |
 |
SP,ULPMP |
arxiv |
Algorithm |
| 2026.01 |
Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization |
|
TSP,CVRP, BPP,MKP |
arxiv |
Algorithm |
| 2026.01 |
PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs |
|
TSP,KP,CVRP, MKP,OP,BPP |
arxiv |
Algorithm |
| 2026.01 |
LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI |
|
BBO |
arxiv |
Algorithm |
| 2026.01 |
Game-Theoretic Co-Evolution for LLM-Based Heuristic Discovery |
|
OBP,TSP,CVRP |
arxiv |
Algorithm |
| 2026.01 |
Beyond the Node: Clade-level Selection for Efficient MCTS in Automatic Heuristic Design |
|
TSP,KP,CVRP, MKP,BPP |
arxiv |
Algorithm |
| 2026.02 |
Hard Constraints Meet Soft Generation: Guaranteed Feasibility for LLM-based Combinatorial Optimization |
|
TSP,OP,CVRP,MIS, MVC,PFSP,JSSP |
arxiv |
Solution |
| 2026.02 |
Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization |
|
COP |
arxiv |
Benchmark |
| 2026.02 |
G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design |
 |
TSP,CVRP,OVRP |
arxiv |
Algorithm |
| 2026.02 |
OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Algorithm Discovery |
 |
OR |
arxiv |
Solution |
| 2026.02 |
Heuristic Search as Language-Guided Program Optimization |
|
PDPTW,crew pairing, TMP,Intra-op scheduling |
arxiv |
Algorithm |
| 2026.02 |
AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization |
 |
CirclePacking |
arxiv |
Algorithm |
| 2026.02 |
ConstraintBench: Benchmarking LLM Constraint Reasoning on Direct Optimization |
|
Optimization |
arxiv |
Benchmark |
| 2026.02 |
Enhancing CVRP Solver through LLM-driven Automatic Heuristic Design |
|
CVRP |
arxiv |
Algorithm |