Algorithm Selection for Combinatorial Search Problems: A Survey

30 October 2012

Papers citing "Algorithm Selection for Combinatorial Search Problems: A Survey"

50 / 69 papers shown

Title
ORFS-agent: Tool-Using Agents for Chip Design Optimization Amur Ghose Andrew B. Kahng Sayak Kundu Zhiang Wang AI4CE 18 0 0 10 Jun 2025
Class-Level Feature Selection Method Using Feature Weighted Growing Self-Organising Maps Andrew Starkey Uduak Idio Akpan Omaimah AL Hosni Yaseen Pullissery 52 0 0 14 Mar 2025
Bridging Pattern-Aware Complexity with NP-Hard Optimization: A Unifying Framework and Empirical Study Olivier Saidi 8 0 0 12 Mar 2025
Landscape Features in Single-Objective Continuous Optimization: Have We Hit a Wall in Algorithm Selection Generalization? Gjorgjina Cenikj G. Petelin Moritz Seiler Nikola Cenikj T. Eftimov 90 2 0 29 Jan 2025
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems E. Osaba Esther Villar-Rodriguez Javier Del Ser Antonio J. Nebro Daniel Molina A. Latorre Ponnuthurai Nagaratnam Suganthan Carlos A. Coello Coello Francisco Herrera 103 271 0 04 Oct 2024
Automatic Feature Learning for Essence: a Case Study on Car Sequencing Alessio Pellegrino Ozgur Akgun Nguyen Dang Z. Kiziltan Ian Miguel 68 0 0 23 Sep 2024
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization Gjorgjina Cenikj Ana Nikolikj Gašper Petelin Niki van Stein Carola Doerr T. Eftimov 81 1 0 08 Jun 2024
Frugal Algorithm Selection Erdem Kus Ozgur Akgun Nguyen Dang Ian Miguel 33 0 0 17 May 2024
Towards the Inferrence of Structural Similarity of Combinatorial Landscapes Mingyu Huang Ke Li 67 0 0 05 Dec 2023
Optimization of Image Processing Algorithms for Character Recognition in Cultural Typewritten Documents Mariana Dias C. Lopes 29 3 0 27 Nov 2023
Taking the human out of decomposition-based optimization via artificial intelligence: Part I. Learning when to decompose Ilias Mitrai P. Daoutidis 58 4 0 10 Oct 2023
Which algorithm to select in sports timetabling? D. Bulck Dries R. Goossens Jan-Patrick Clarner Angelos Dimitsas George H. G. Fonseca Carlos Lamas-Fernandez Martin Mariusz Lester Jaap Pedersen Antony E. Phillips R. Rosati 35 5 0 04 Sep 2023
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards Semih Cayci A. Eryilmaz 59 2 0 20 Jun 2023
Learning Performance-Improving Code Edits Alex Shypula Aman Madaan Yiming Yang Uri Alon Jacob R. Gardner Milad Hashemi Graham Neubig Parthasarathy Ranganathan Osbert Bastani Amir Yazdanbakhsh SyDa 112 93 0 15 Feb 2023
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks Yaobo Song Laurens Bliek Yingqian Zhang 85 1 0 08 Feb 2023
UNSAT Solver Synthesis via Monte Carlo Forest Search Chris Cameron Jason S. Hartford Taylor Lundy T. Truong Alan Milligan Rex Chen Kevin Leyton-Brown 74 2 0 22 Nov 2022
Explainable Model-specific Algorithm Selection for Multi-Label Classification Ana Kostovska Carola Doerr Jannis Brugger D. Kocev P. Panov T. Eftimov 48 1 0 21 Nov 2022
MAGPIE: Machine Automated General Performance Improvement via Evolution of Software Aymeric Blot J. Petke 30 15 0 04 Aug 2022
Automated Dynamic Algorithm Configuration Steven Adriaensen André Biedenkapp Gresa Shala Noor H. Awad Theresa Eimer Marius Lindauer Frank Hutter 106 39 0 27 May 2022
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks Hassan Eldeeb Mohamed Maher Radwa El Shawi Sherif Sakr 85 18 0 18 Apr 2022
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches M. Alissa Kevin Sim E. Hart 53 17 0 24 Mar 2022
On the evaluation of (meta-)solver approaches R. Amadini M. Gabbrielli Tong Liu J. Mauro ELM OffRL 24 1 0 17 Feb 2022
A Survey of Methods for Automated Algorithm Configuration Elias Schede Jasmin Brandt Alexander Tornede Marcel Wever Viktor Bengs Eyke Hüllermeier Kevin Tierney 98 52 0 03 Feb 2022
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization Ryoji Tanabe 63 15 0 17 Sep 2021
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning Eyke Hüllermeier F. Mohr Alexander Tornede Marcel Wever LRM 88 3 0 10 Sep 2021
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs Nicolas Sonnerat Pengming Wang Ira Ktena Sergey Bartunov Vinod Nair 105 48 0 21 Jul 2021
MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings J. Ren V. Sathiyanarayanan Eric Ewing Baskin Senbaslar Nora Ayanian 55 19 0 24 Feb 2021
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 216 251 0 23 Dec 2020
Towards Portfolios of Streamlined Constraint Models: A Case Study with the Balanced Academic Curriculum Problem Patrick Spracklen Nguyen Dang Ozgur Akgun Ian Miguel 20 3 0 21 Sep 2020
Supervised learning for the prediction of firm dynamics Falco J. Bargagli-Stoffi J. Niederreiter M. Riccaboni 45 17 0 11 Sep 2020
sunny-as2: Enhancing SUNNY for Algorithm Selection Tong Liu R. Amadini J. Mauro M. Gabbrielli 17 6 0 07 Sep 2020
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection Yining Wang Yi Chen Ethan X. Fang Zhaoran Wang Runze Li 131 16 0 04 Sep 2020
Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services Basheer Qolomany Ihab Mohammed Ala I. Al-Fuqaha Mohsen Guizani Junaid Qadir 52 36 0 11 Aug 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 133 285 0 08 Jul 2020
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem M. Seiler J. Pohl Jakob Bossek P. Kerschke Heike Trautmann 39 21 0 29 Jun 2020
Towards Feature-free TSP Solver Selection: A Deep Learning Approach Kangfei Zhao Shengcai Liu Yu Rong Jianwei Yu 71 2 0 01 Jun 2020
Versatile Black-Box Optimization Jialin Liu A. Moreau Mike Preuss Baptiste Roziere Jérémy Rapin F. Teytaud O. Teytaud 68 38 0 29 Apr 2020
Multi-label learning for dynamic model type recommendation Mariana A. Souza R. Sabourin George D. C. Cavalcanti Rafael M. O. Cruz 11 0 0 01 Apr 2020
Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing Ge Liu Rui Wu Heng-Tze Cheng Jing Wang Jayden Ooi Lihong Li Ang Li Wai Lok Sibon Li Craig Boutilier Ed H. Chi OffRL 23 4 0 12 Feb 2020
A Survey on String Constraint Solving R. Amadini AI4CE LRM 47 34 0 31 Jan 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 106 57 0 01 Jan 2020
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem André Hottung Kevin Tierney 106 149 0 21 Nov 2019
Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem Chunnan Wang Hongzhi Wang Tianyu Mu Jianzhong Li Hong Gao 26 10 0 24 Oct 2019
Automatic Algorithm Selection In Multi-agent Pathfinding D. Sigurdson V. Bulitko Sven Koenig Carlos Hernández William Yeoh 59 20 0 10 Jun 2019
Automated Algorithm Selection: Survey and Perspectives P. Kerschke Holger H. Hoos Frank Neumann Heike Trautmann 77 384 0 28 Nov 2018
In-Session Personalization for Talent Search S. Geyik Vijay Dialani Meng Meng Ryan Smith 55 5 0 18 Sep 2018
The Algorithm Selection Competitions 2015 and 2017 Marius Lindauer Jan N. van Rijn Lars Kotthoff 63 38 0 03 May 2018
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping Shengcai Liu K. Tang Xin Yao 69 29 0 17 Apr 2018
Predicting Good Configurations for GitHub and Stack Overflow Topic Models Christoph Treude Markus Wagner 65 41 0 13 Apr 2018
A Review of Literature on Parallel Constraint Solving Ian P. Gent Ciaran McCreesh Ian Miguel Neil C. A. Moore Peter William Nightingale P. Prosser Chris Unsworth 33 19 0 29 Mar 2018