Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem

29 June 2020

Papers citing "Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem"

11 / 11 papers shown

Title
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Quentin Renau E. Hart 56 0 0 20 Jan 2025
Neural Solver Selection for Combinatorial Optimization Chengrui Gao Haopu Shang Ke Xue Chao Qian 57 0 0 13 Oct 2024
Automated Algorithm Selection: Survey and Perspectives P. Kerschke Holger H. Hoos Frank Neumann Heike Trautmann 26 376 0 28 Nov 2018
Group Normalization Yuxin Wu Kaiming He 160 3,626 0 22 Mar 2018
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning P. Kerschke Heike Trautmann 51 151 0 24 Nov 2017
Relief-Based Feature Selection: Introduction and Review Ryan J. Urbanowicz Melissa Meeker William La Cava Randal S. Olson J. Moore 28 1,003 0 22 Nov 2017
ASlib: A Benchmark Library for Algorithm Selection B. Bischl P. Kerschke Lars Kotthoff Marius Lindauer Y. Malitsky ... Holger Hoos Frank Hutter Kevin Leyton-Brown Kevin Tierney Joaquin Vanschoren 50 220 0 08 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.0K 149,474 0 22 Dec 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 239 6,267 0 16 Dec 2013
Algorithm Runtime Prediction: Methods & Evaluation Frank Hutter Lin Xu Holger H. Hoos Kevin Leyton-Brown 59 418 0 05 Nov 2012
Algorithm Selection for Combinatorial Search Problems: A Survey Lars Kotthoff 59 371 0 30 Oct 2012