Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem

19 April 2024

Papers citing "Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem"

8 / 8 papers shown

Title
DALex: Lexicase-like Selection via Diverse Aggregation Andrew Ni Lijie Ding Lee Spector 84 6 0 23 Jan 2024
Solving Travelling Thief Problems using Coordination Based Methods M. Namazi M. A. Hakim Newton Conrad Sanderson Abdul Sattar 63 7 0 11 Oct 2023
Contemporary Symbolic Regression Methods and their Relative Performance William La Cava Patryk Orzechowski Bogdan Burlacu Fabrício Olivetti de Francca M. Virgolin Ying Jin M. Kommenda J. Moore 185 261 0 29 Jul 2021
PMLB v1.0: An open source dataset collection for benchmarking machine learning methods Joseph D. Romano Trang T. Le William La Cava John T. Gregg Daniel J. Goldberg Natasha L. Ray Praneel Chakraborty Daniel Himmelstein Weixuan Fu J. Moore GP 43 74 0 30 Nov 2020
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients Brenden K. Petersen Mikel Landajuela T. Nathan Mundhenk Claudio Santiago Soo K. Kim Joanne T. Kim 54 315 0 10 Dec 2019
Epsilon-Lexicase Selection for Regression William La Cava Lee Spector K. Danai 43 136 0 30 May 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression S. Udrescu Max Tegmark 160 881 0 27 May 2019
A case study of algorithm selection for the traveling thief problem Markus Wagner Marius Lindauer Mustafa Misir Samadhi Nallaperuma Frank Hutter 49 65 0 02 Sep 2016