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Large Language Models (LLMs) have shown great potential in automatically generating and optimizing (meta)heuristics, making them valuable tools in heuristic optimization tasks.
Lower bounds and reduction procedures for the bin packing problem
Silvano Martello and Paolo Toth. 1990 · 1990
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TSPLIB—A traveling salesman problem library
Gerhard Reinelt. 1991 · 1991
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Christos Voudouris and Edward Tsang. 1999 · 1999
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On the online bin packing problem
Steven S Seiden. 2002 · 2002
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Certification of an optimal TSP tour through 85,900 cities
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Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions
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Traveling salesman problem: an overview of applications, formulations, and solution approaches
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Mark E Glickman. 2012 · 2012
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Automated algorithm configuration and parameter tuning
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Automatically improving the anytime behaviour of optimisation algorithms
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Attention, learn to solve routing problems!
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Knowledge-guided local search for the vehicle routing problem
Florian Arnold and Kenneth Sörensen. 2019 · 2019
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Hyperparameter optimization
Matthias Feurer and Frank Hutter. 2019 · 2019
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An efficient graph convolutional network technique for the travelling salesman problem
Chaitanya K Joshi, Thomas Laurent, and Xavier Bresson. 2019 · 2019
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BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters
M. Lindauer, K. Eggensperger, M. Feurer, A. Biedenkapp, J. Marben, P. Müller, and F. Hutter. 2019 · 2019
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Automated machine learning: past, present and future
Mitra Baratchi, Can Wang, Steffen Limmer, Jan N van Rijn, Holger Hoos, Thomas Bäck, and Markus Olhofer. 2024 · 2024
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IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, and Thomas Bäck. 2024 · 2024
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Liu Fei, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, and Qingfu Zhang. 2024 · 2024
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Manuel López-Ibáñez, Diederick Vermetten, Johann Dreo, and Carola Doerr. 2024 · 2024
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ChatGPT-4-Turbo
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Benjamin Hudson, Qingbiao Li, Matthew Malencia, and Amanda Prorok. 2021 · 2021
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Anytime Performance Assessment in Blackbox Optimization Benchmarking
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SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass, and Frank Hutter. 2022 · 2022
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Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne-Laure Boulesteix, et al · 2023
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Algorithm Evolution Using Large Language Model. (2023)
Fei Liu, Xialiang Tong, Mingxuan Yuan, and Qingfu Zhang. 2023 · 2023
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LLaMEA-HPO: code, generated algorithms and IOH logging data
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Mathematical discoveries from program search with large language models
Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M Pawan Kumar, Emilien Dupont, Francisco JR Ruiz, Jordan S Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, and Alhussein Fawzi. 2024 · 2024
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NeuralGLS: learning to guide local search with graph convolutional network for the traveling salesman problem
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LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
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Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. In International Conference on Parallel Problem Solving from Nature . Springer, 185–202
Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, and Qingfu Zhang. 2024 · 2024
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