| 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 | 2025 IEEE MCII | 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 | 2024 MDPI MAKE | 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 | Proceedings of the Design Society 2025 | 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 | IEEE Transactions on Network Science and Engineering | 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 | Inteligencia Artificial 2026 | 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 | ICLR 2026 | 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 | ECAI 2025 | 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 | ACM Computing Surveys 2025 | 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 |
| 2025.08 | Guiding Large Language Models in Modeling Optimization Problems via Question Partitioning | | Opt | IJCAI 2025 | Formulation |
| 2025.09 | LLM-QUBO: An End-to-End Framework for Automated QUBO Transformation from Natural Language Problem Descriptions | | MILP | AAAI Symposium on Quantum Information & Machine Learning | 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 | ICLR 2026 | 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 | ICLR 2026 | 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 | ICLR 2026 | 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 | ICLR 2026 | 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 | Computers & Operations Research | 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 | IEEE Access | Formulation |
| 2026.01 | DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial Optimization | | TSP,CVRP, BPP,MKP | AAMAS 2026 | 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 |
| 2026.02 | EvoX: Meta-Evolution for Automated Discovery |  | CirclePacking | arxiv | Algorithm |
| 2026.03 | From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors |  | OneMax | arxiv | Method |
| 2026.03 | DyACE: Dynamic Algorithm Co-evolution for Online Automated Heuristic Design with Large Language Model | | JSSP,TSP,CVRP | arXiv | Algorithm |
| 2026.03 | CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models | | OBP,TSP | arXiv | Algorithm |
| 2026.03 | AVO: Agentic Variation Operators for Autonomous Evolutionary Search | | Kernel Optimization | arXiv | Algorithm |
| 2026.03 | DSevolve: Enabling Real-Time Adaptive Scheduling on Dynamic Shop Floor with LLM-Evolved Heuristic Portfolios | | DFJSP | arXiv | Algorithm |
| 2026.04 | Infeasibility Aware Large Language Models for Combinatorial Optimization | | Minor-embedding, k-coloring | arXiv | Solution |
| 2026.04 | NED-Tree: Bridging the Semantic Gap with Nonlinear Element Decomposition Tree for LLM Nonlinear Optimization Modeling | | OR | arXiv | Formulation |
| 2026.04 | ReVEL: Multi-Turn Reflective LLM-Guided Heuristic Evolution via Structured Performance Feedback | | BPP,TSP,CVRP | arXiv | Algorithm |
| 2026.04 | PyVRP^+: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems |  | VRP | AAMAS 2026 | Algorithm |
| 2026.04 | BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design | | TSP,CVRP, BPP,MIS | arXiv | Algorithm |
| 2026.04 | AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems | | `` | arXiv | Formulation |
| 2026.04 | Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization |  | OR | arXiv | Formulation |
| 2026.04 | GR-Evolve: Design-Adaptive Global Routing via LLM-Driven Algorithm Evolution |  | EDA | arXiv | Algorithm |
| 2026.04 | A2DEPT: Large Language Model–Driven Automated Algorithm Design via Evolutionary Program Trees | | MIS,CVRP, CFLP,FJSP | arXiv | Algorithm |
| 2026.04 | AutoQResearch: LLM-Guided Closed-Loop Policy Search for Adaptive Variational Quantum Optimization |  | MIS,CVRP | arXiv | Algorithm |
| 2026.04 | Design Structure Matrix Modularization with Large Language Models | | DSM modularization | arXiv | Solution |
| 2026.05 | Back to the Beginning of Heuristic Design: Bridging Code and Knowledge with LLMs | | TSP,CVRP,JSSP,OP,QAP | arXiv | Algorithm |
| 2026.05 | CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models |  | IRP,MRMUPMP | GECCO 2026 | Algorithm |
| 2026.05 | HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization | | TSP,BPP, MKP,PFSP | arXiv | Algorithm |
| 2026.05 | AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design |  | TSP,OP,MKP, CVRP,OVRP | arXiv | Algorithm |
| 2026.05 | LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search |  | Scheduling | arxiv | Algorithm |
| 2026.05 | LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs |  | MILP | ICML 2026 | Algorithm |
| 2026.05 | Teacher-Aware Evolution of Heuristic Programs from Learned Optimization Policies | | JSSP,CVRP, TSP,MaxCut | arxiv | Algorithm |
| 2026.05 | Formalize, Don’t Optimize: The Heuristic Trap in LLM-Generated Combinatorial Solvers | | COP | arxiv | Benchmark |
| 2026.05 | Distribution-Aware Algorithm Design with LLM Agents | | COP | arxiv | Algorithm |
| 2026.05 | LLM-Enabled Automated Algorithm Design for Multiuser Fluid Antenna Communications | | FAS | arxiv | Algorithm |
| 2026.05 | Effective Harness Engineering for Algorithm Discovery with Coding Agents | | CirclePacking | arxiv | Algorithm |
| 2026.05 | Latent Heuristic Search: Continuous Optimization for Automated Algorithm Design | | TSP,CVRP,OBP,KSP | arxiv | Algorithm |
| 2026.05 | Memory-Guided Tree Search with Cross-Branch Knowledge Transfer for LLM Solver Synthesis | | ALP,PVRP,CLP, CLPWR,RCSPP, CSP,EST | arxiv | Algorithm |
| 2026.05 | Beyond Inference-Time Search: Reinforcement Learning Synthesizes Reusable Solvers |  | SDS | arxiv | Analysis |
| 2026.05 | What Do Evolutionary Coding Agents Evolve? |   | CO | arxiv | Analysis |
| 2026.05 | TriVAL: A Tri-Validation Framework for Faithful Automatic Optimization Modeling | | OR | arxiv | Algorithm & Benchmark |
| 2026.05 | DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents |  | DFJSP | ICML 2026 | Benchmark |
| 2026.05 | Learning to Solve and Optimize by Evolving Code | | HCP,CCP, E-DFJSP | arxiv | Algorithm |
| 2026.05 | LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization | | TTP,TPP | arxiv | Algorithm |
| 2026.06 | Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems | | VRP | arxiv | Solution |
| 2026.06 | Large Language Model-Driven Cooperative Operator Ensemble Evolution for Permutation Flow Shop Scheduling | | PFSP | arxiv | Algorithm |
| 2026.06 | Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks | | TSP,CVRP | arxiv | Algorithm |
| 2026.06 | RAISE: LLM-based Automated Heuristic Design with Robust Adversary Instance Search | | OBP,OJSP,OVRP | arxiv | Algorithm |
| 2026.07 | Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives | | VRP | arxiv | Review |