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Algorithm Selection for Combinatorial Search Problems: A Survey

Algorithm Selection for Combinatorial Search Problems: A Survey

30 October 2012
Lars Kotthoff
ArXiv (abs)PDFHTML

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
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
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?
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
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
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
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
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
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
Optimization of Image Processing Algorithms for Character Recognition in Cultural Typewritten Documents
Mariana Dias
C. Lopes
31
3
0
27 Nov 2023
Taking the human out of decomposition-based optimization via artificial
  intelligence: Part I. Learning when to decompose
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?
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
40
5
0
04 Sep 2023
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
Semih Cayci
A. Eryilmaz
59
2
0
20 Jun 2023
Learning Performance-Improving Code Edits
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
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
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
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
MAGPIE: Machine Automated General Performance Improvement via Evolution of Software
Aymeric Blot
J. Petke
30
15
0
04 Aug 2022
Automated Dynamic Algorithm Configuration
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
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
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
On the evaluation of (meta-)solver approaches
R. Amadini
M. Gabbrielli
Tong Liu
J. Mauro
ELMOffRL
24
1
0
17 Feb 2022
A Survey of Methods for Automated Algorithm Configuration
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
A Survey on String Constraint Solving
R. Amadini
AI4CELRM
47
34
0
31 Jan 2020
Lossless Compression of Deep Neural Networks
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
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
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
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
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
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
The Algorithm Selection Competitions 2015 and 2017
Marius Lindauer
Jan N. van Rijn
Lars Kotthoff
65
38
0
03 May 2018
Automatic Construction of Parallel Portfolios via Explicit Instance
  Grouping
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping
Shengcai Liu
K. Tang
Xin Yao
71
29
0
17 Apr 2018
Predicting Good Configurations for GitHub and Stack Overflow Topic
  Models
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
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
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