| 2023.11 |
AEL — Algorithm Evolution Using Large Language Model |
arXiv 2023 |
TSP |
Design object |
Note |
| 2023.12 |
FunSearch — Mathematical discoveries from program search with large language models |
Nature 2023 |
Cap Set, OBP |
Design object |
Note · Code |
| 2024.05 |
LLM-Opt Survey — When Large Language Model Meets Optimization |
Swarm and Evolutionary Computation 2024 |
AAD |
Design object |
Note |
| 2024.07 |
EoH — Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model |
ICML 2024 |
TSP, BPP, FSSP |
Design object |
Note · Code |
| 2024.09 |
EPS Benchmark — Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models |
PPSN 2024 |
AHD Bench |
Feedback |
Note · Code |
| 2024.10 |
Survey-AHD — A Systematic Survey on Large Language Models for Algorithm Design |
arXiv (Cornell University) 2024 |
AAD |
Design object |
Note |
| 2024.12 |
ReEvo — ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution |
NeurIPS 2024 |
TSP, VRP, OP, +2 |
Feedback |
Note · Code |
| 2024.12 |
LLM4AD Platform — LLM4AD: A Platform for Algorithm Design with Large Language Model |
arXiv 2024 |
AAD |
Scope |
Note · Code |
| 2025.02 |
LLMRule — An Interpretable Automated Mechanism Design Framework with Large Language Models |
arXiv.org 2025 |
AAD |
Design object |
Note |
| 2025.02 |
PoH — Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization |
arXiv 2025 |
TSP, FSSP |
Feedback |
Note |
| 2025.02 |
ARS — ARS: Automatic Routing Solver with Large Language Models |
arXiv 2025 |
VRP |
Design object |
Note · Code |
| 2025.03 |
CEoH — Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems |
arXiv 2025 |
UPMP |
Feedback |
Note |
| 2025.04 |
HSEvo — HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs |
AAAI 2025 |
TSP, BPP, OP |
Search |
Note · Code |
| 2025.04 |
MEoH — Multi-Objective Evolution of Heuristic Using Large Language Model |
AAAI 2025 |
OBP, TSP |
Scope |
Note · Code |
| 2025.04 |
LLaMEA-HPO — In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics |
ACM TELO 2025 |
OBP, BBO, TSP |
Search |
Note · Code |
| 2025.04 |
LLM-SR — LLM-SR: Scientific Equation Discovery via Programming with Large Language Models |
ICLR 2025 |
Equation Discovery, SR |
Design object |
Note · Code |
| 2025.04 |
LLMOPT — LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch |
ICLR 2025 |
General Opt. Modeling |
Design object |
Note · Code |
| 2025.04 |
OptiBench — OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling |
ICLR 2025 |
Opt. Modeling |
Feedback |
Note · Code |
| 2025.05 |
ORLM — ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling |
Operations Research 2025 |
Opt. Modeling |
Design object |
Note · Code |
| 2025.05 |
CALM — CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design |
arXiv 2025 |
CO |
Feedback |
Note · Code |
| 2025.05 |
RedAHD — RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models |
arXiv 2025 |
TSP, CVRP, BPP, +3 |
Scope |
Note |
| 2025.05 |
LLaMEA-BO — LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms |
arXiv 2025 |
Bayesian Optimization Algorithm Design |
Design object |
Note · Code |
| 2025.05 |
InstSpecHH — LLM-Driven Instance-Specific Heuristic Generation and Selection |
arXiv 2025 |
OBP, CVRP |
Scope |
Note |
| 2025.06 |
AlphaEvolve — AlphaEvolve: A coding agent for scientific and algorithmic discovery |
arXiv white paper 2025 |
Discovery, DCS, MM, +1 |
Scope |
Note |
| 2025.06 |
HeurAgenix — HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges |
arXiv 2025 |
CO |
Scope |
Note · Code |
| 2025.07 |
AAD Fine-tuning — Fine-tuning Large Language Model for Automated Algorithm Design |
arXiv 2025 |
AAD |
Feedback |
Note · Code |
| 2025.07 |
EquivaMap — EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations |
ICML 2025 |
Formulation Equivalence |
Feedback |
Note · Code |
| 2025.07 |
MCTS-AHD — Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design |
ICML 2025 |
TSP, CVRP, KP, +2 |
Search |
Note · Code |
| 2025.08 |
Hercules — Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models |
KDD 2025 |
CO |
Feedback |
Note · Code |
| 2025.09 |
AutoPBO — AutoPBO: LLM-powered Optimization for Local Search PBO Solvers |
arXiv.org 2025 |
AAD |
Design object |
Note |
| 2025.09 |
Exp-CoEvo — Experience-Guided Reflective Co-Evolution of Prompts and Heuristics for Automatic Algorithm Design |
arXiv.org 2025 |
AAD |
Design object |
Note |
| 2025.09 |
ShinkaEvolve — ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution |
arXiv 2025 |
Program Evolution, Discovery |
Search |
Note · Code |
| 2025.10 |
Code Generators — Man-Made Heuristics Are Dead. Long Live Code Generators! |
ACM Workshop on Hot Topics in Networks 2025 |
AAD |
Design object |
Note |
| 2025.10 |
VRPAgent — VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems |
ArXiv.org 2025 |
AAD |
Design object |
Note |
| 2025.10 |
CodeEvolve — CodeEvolve: An Open-Source Evolutionary Coding Agent for Algorithmic Discovery and Optimization |
arXiv 2025 |
Algorithmic Discovery, Optimization |
Search |
Note · Code |
| 2025.12 |
PartEvo — Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery |
NeurIPS 2025 |
Unimodal Optimization, Multimodal Optimization, Mobile Edge Task Offloading, +2 |
Search |
Note · Code |
| 2025.12 |
CogMCTS — CogMCTS: A Novel Cognitive-Guided Monte Carlo Tree Search Framework for Iterative Heuristic Evolution with Large Language Models |
arXiv 2025 |
CO |
Search |
Note |
| 2025.12 |
Beyond Algo Evo — Beyond Algorithm Evolution: An LLM-Driven Framework for the Co-Evolution of Swarm Intelligence Optimization Algorithms and Prompts |
arXiv 2025 |
CO |
Feedback |
Note |
| 2026.01 |
GenePlan — GenePlan: Evolving Better Generalized PDDL Plans Using Large Language Models |
Proceedings of the International Conference on Automated Planning and Scheduling 2026 |
AAD |
Design object |
Note |
| 2026.01 |
Magellan — Magellan: Autonomous Discovery of Novel Compiler Optimization Heuristics with AlphaEvolve |
arXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.01 |
Pareto-Grid — Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization |
Proceedings of the AAAI Conference on Artificial Intelligence 2026 |
AAD |
Design object |
Note |
| 2026.01 |
DASH — Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization |
arXiv 2026 |
CO |
Feedback |
Note |
| 2026.01 |
E2OC — Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization |
arXiv 2026 |
MOCO |
Design object |
Note |
| 2026.01 |
TIDE — TIDE: Tuning-Integrated Dynamic Evolution for LLM-Based Automated Heuristic Design |
arXiv 2026 |
CO |
Design object |
Note |
| 2026.02 |
LLM-PB — Large Language Models for Designing Participatory Budgeting Rules |
arXiv (Cornell University) 2026 |
AAD |
Design object |
Note |
| 2026.02 |
OR-Agent — OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Algorithm Discovery |
arXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.02 |
G-LNS — G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design |
arXiv 2026 |
TSP, CVRP |
Design object |
Note · Code |
| 2026.02 |
AILS-AHD — Enhancing CVRP Solver through LLM-driven Automatic Heuristic Design |
arXiv 2026 |
CVRP |
Design object |
Note |
| 2026.03 |
PathPlan — Constraint-aware Path Planning from Natural Language Instructions Using Large Language Models |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.03 |
Strong Priors — From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors |
arXiv 2026 |
PBO, BBO |
Feedback |
Note |
| 2026.03 |
DyACE — DyACE: Dynamic Algorithm Co-evolution for Online Automated Heuristic Design with Large Language Model |
arXiv 2026 |
Online Combinatorial Optimization |
Design object |
Note |
| 2026.03 |
Evolved-ALNS — Large Language Model-Driven Full-Component Evolution of Adaptive Large Neighborhood Search |
arXiv 2026 |
TSP, CVRP |
Design object |
Note |
| 2026.03 |
CDEoH — CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models |
arXiv 2026 |
CO |
Feedback |
Note |
| 2026.03 |
DGM — Darwin Godel Machine: Open-ended evolution of self-improving agents |
ICLR 2026 |
AAD |
Design object |
Note · Code |
| 2026.03 |
EoH-S — EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Design |
AAAI 2026 |
OBP, TSP, CVRP |
Scope |
Note |
| 2026.03 |
TrajEvo — TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution |
Proceedings of the AAAI Conference on Artificial Intelligence 2026 |
AAD |
Design object |
Note |
| 2026.04 |
CliffSearch — CliffSearch: Structured Agentic Co-Evolution over Theory and Code for Scientific Algorithm Discovery |
arXiv 2026 |
Discovery |
Design object |
Note |
| 2026.04 |
ReVEL — ReVEL: Multi-Turn Reflective LLM-Guided Heuristic Evolution via Structured Performance Feedback |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.04 |
A-CEoH — Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search |
EvoStar 2026 |
A* Search, UPMP, SPP |
Feedback |
Note · Code |
| 2026.04 |
BEAM — BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design |
arXiv 2026 |
CO |
Design object |
Note |
| 2026.04 |
AFL — AFL: An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems |
ICLR 2026 |
Complex VRP |
Design object |
Note · Code |
| 2026.04 |
BehaveSim — Rethinking Code Similarity for Automated Algorithm Design with LLMs |
ICLR 2026 |
Similarity Evaluation |
Feedback |
Note · Code |
| 2026.04 |
HeuriGym — HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization |
ICLR 2026 |
CO Bench |
Feedback |
Note · Code |
| 2026.04 |
MLES — Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies |
ICLR 2026 |
LunarLander, CarRacing |
Feedback |
Note · Code |
| 2026.04 |
A2DEPT — A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees |
arXiv 2026 |
AAD |
Design object |
Note |
| 2026.05 |
CUDA Feedback — Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.05 |
DHFSP-Evo — Automatic generation of heuristic dispatching rules for dynamic hybrid flow shop scheduling via personalized multi-island reflective evolution |
Tsinghua Science & Technology 2026 |
AAD |
Design object |
Note |
| 2026.05 |
Domain Heuristics — LLM-Evolved Domain-Independent Heuristics for Symbolic AI Planning |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.05 |
FrontierOR — FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.05 |
MEMOIR — Memory-Guided Tree Search with Cross-Branch Knowledge Transfer for LLM Solver Synthesis |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.05 |
OR Survey — Large Language Models for Operations Research: A Comprehensive Survey |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.05 |
LaF-MCTS — Automated Large-scale CVRP Solver Design via LLM-assisted Flexible MCTS |
arXiv 2026 |
Large-scale CVRP |
Design object |
Note |
| 2026.05 |
Knowledge-first — Back to the Beginning of Heuristic Design: Bridging Code and Knowledge with LLMs |
arXiv 2026 |
CO |
Design object |
Note |
| 2026.05 |
HMACE — HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization |
arXiv 2026 |
TSP, OBP, MKP, +1 |
Feedback |
Note |
| 2026.05 |
AHD Agent — AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design |
arXiv 2026 |
CO |
Feedback |
Note · Code |
| 2026.05 |
Code Graph — Budget-Efficient Automatic Algorithm Design via Code Graph |
arXiv 2026 |
AAD Bench |
Design object |
Note |
| 2026.05 |
Teacher-Aware — Teacher-Aware Evolution of Heuristic Programs from Learned Optimization Policies |
arXiv 2026 |
Scheduling, Routing, Graph Optimization |
Feedback |
Note |
| 2026.05 |
Vesper — Effective Harness Engineering for Algorithm Discovery with Coding Agents |
arXiv 2026 |
Algorithm Discovery |
Feedback |
Note |
| 2026.05 |
AutoPort — LLM-Enabled Automated Algorithm Design for Multiuser Fluid Antenna Communications |
IEEE TWC 2026 |
FAS Port Selection, Beamforming |
Design object |
Note |
| 2026.05 |
AutoSG — AutoSG: LLM-Driven Solver Generation Solely from Task Prompts for Expensive Optimization |
arXiv 2026 |
Expensive Optimization |
Feedback |
Note |
| 2026.05 |
PyVRP+ — PyVRP+: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems |
AAMAS 2026 |
VRP |
Feedback |
Note · Code |
| 2026.05 |
AHD-Network — Automated Heuristic Design for Network Operations |
arXiv 2026 |
Low-Density Parity-Check Decoding |
Scope |
Note |
| 2026.05 |
CoEvo — LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization |
arXiv 2026 |
Traveling Thief Problem, Traveling Purchaser Problem |
Design object |
Note |
| 2026.06 |
EPB — Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.06 |
EvoOptiGraph — EvoOptiGraph: Weakness-Driven Coevolution via Graph-Based Structural Generation for Optimization Modeling |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.06 |
Macro Order — Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution |
arXiv (Cornell University) 2026 |
AAD |
Design object |
Note |
| 2026.06 |
OpenEvolve — Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.06 |
PatternGen — LLM-Evolved Pattern Generators for Optimal Classical Planning |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.06 |
SCOE — Large Language Model-Driven Cooperative Operator Ensemble Evolution for Permutation Flow Shop Scheduling |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.06 |
UH-NAS — LLM-Guided Neural Architecture Search for Robust Co-Design of Physical Neural Networks |
arXiv (Cornell University) 2026 |
AAD |
Design object |
Note |
| 2026.06 |
VVenC-QP — LLM-Driven Heuristic Frame-Level Quantization Parameter Adaptation for VVenC |
ArXiv.org 2026 |
AAD |
Design object |
Note |
| 2026.06 |
Successor-Gen — Successor-Generator Planning with LLM-generated Heuristics |
Proceedings of the International Conference on Automated Planning and Scheduling 2026 |
AAD |
Design object |
Note |
| 2026.06 |
MeEvo — MeEvo: Metacognitive Evolution Combined with Natural Evolution for Automatic Heuristic Design |
arXiv 2026 |
CO |
Feedback |
Note · Code |
| 2026.06 |
LHS — Latent Heuristic Search: Continuous Optimization for Automated Algorithm Design |
LION 2026 |
TSP, CVRP, KP, +1 |
Design object |
Note · Code |
| 2026.06 |
REFLEX — REFLEX: Reflective Evolution from LLM Experience |
arXiv 2026 |
Programmatic Policy Evolution |
Feedback |
Note |
| 2026.06 |
Feynman-FS — Explainable AI-assisted optimization for Feynman integral reduction |
Journal of High Energy Physics 2026 |
AAD |
Design object |
Note |
| 2026.06 |
STABLE — Semantics-Aware Bilevel Co-Evolution: Towards Automated Multicomponent Algorithm Design |
arXiv 2026 |
Multicomponent Algorithm Design |
Design object |
Note |
| 2026.06 |
RAISE — RAISE: LLM-based Automated Heuristic Design with Robust Adversary Instance Search |
arXiv 2026 |
OBP, Online Job Shop Scheduling, Online Vehicle Routing |
Scope |
Note |
| 2026.07 |
MTHS — Hierarchical Representations for Cross-task Automated Heuristic Design using LLMs |
ICML 2026 |
Cross-task AHD |
Design object |
Note |
| 2026.07 |
PathWise — PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs |
ICML 2026 |
TSP, KP, CVRP, +3 |
Search |
Note · Code |
| 2026.07 |
AST Operator — Breaking Validity-Induced Boundaries to Expand Algorithm Search Space: A Two-Stage AST-Based Operator for LLM-Driven Automated Heuristic Evolution |
GECCO 2026 |
CO |
Design object |
Note |
| 2026.07 |
CoupleEvo — CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models |
GECCO Companion 2026 |
Coupled Optimization |
Design object |
Note · Code |
| 2026.07 |
Mutation Dynamics — Mutation Without Variation: Convergence Dynamics in LLM-Driven Program Evolution |
GECCO Workshop 2026 |
Program Evolution Dynamics |
Feedback |
Note · Code |
| 2026.08 |
PACE — PACE: Primitive-Aware Code Evolution for Automated Algorithm Design |
arXiv 2026 |
AAD |
Design object |
Note |