[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
-
Updated
Nov 3, 2024 - Python
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
Some hyper-heurisics from CHeSC 2011 challenge and the challenge results reproducing attempts.
Online selection hyper-heuristic with generic parameter control in low-level heuristics (meta-heuristic).
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
Multi-Objective Agent-Based Hyper-Heuristic
Thompson Sampling HH implementation to solve TSP in a genetic algorithm configuration.
Implementing hyper-heuristic selection strategies towards creating a synergy between them.
This repository contains the implementation of a HyFlex-compatible version of the UAV Zoo Feeding (UZF) problem, an NP-hard combinatorial optimisation problem.
A Matlab-based Hyper-Heuristic framework. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000413
HyPy is a general hyper-heuristic package for solving combinatorial optimization problems by employing and developing hyper-heuristics.
A Hyflex-compatible problem domain with dynamic feasibility calculation and a realistic problem instance generator
Add a description, image, and links to the hyper-heuristics topic page so that developers can more easily learn about it.
To associate your repository with the hyper-heuristics topic, visit your repo's landing page and select "manage topics."