ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.11597
  4. Cited By
Automated Algorithm Selection: Survey and Perspectives

Automated Algorithm Selection: Survey and Perspectives

28 November 2018
P. Kerschke
Holger H. Hoos
Frank Neumann
Heike Trautmann
ArXiv (abs)PDFHTML

Papers citing "Automated Algorithm Selection: Survey and Perspectives"

50 / 67 papers shown
Title
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction
Ana Kostovska
Carola Doerr
Sašo Džeroski
P. Panov
T. Eftimov
7
0
0
19 Jun 2025
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
Fei Liu
Qingfu Zhang
Xialiang Tong
Mingxuan Yuan
K. Mao
141
0
0
28 Apr 2025
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems
Lennart Schäpermeier
98
0
0
15 Apr 2025
From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution
Zhe Zhao
Haibin Wen
Peng Wang
Ye Wei
Zaixi Zhang
...
Fei Liu
Bo An
Hui Xiong
Yang Wang
Qingfu Zhang
100
1
0
13 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
85
2
0
29 Jan 2025
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
Quentin Renau
E. Hart
98
0
0
20 Jan 2025
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Zeyuan Ma
Hongshu Guo
Yue-Jiao Gong
Jun Zhang
Kay Chen Tan
298
5
0
01 Nov 2024
Neural Solver Selection for Combinatorial Optimization
Neural Solver Selection for Combinatorial Optimization
Chengrui Gao
Haopu Shang
Ke Xue
Chao Qian
94
0
0
13 Oct 2024
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
101
270
0
04 Oct 2024
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
Liangze Jiang
Damien Teney
OODDOOD
138
1
0
03 Oct 2024
Evolutionary Multi-Objective Diversity Optimization
Evolutionary Multi-Objective Diversity Optimization
A. Do
Mingyu Guo
Aneta Neumann
Frank Neumann
58
0
0
15 Jan 2024
PS-AAS: Portfolio Selection for Automated Algorithm Selection in
  Black-Box Optimization
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
Ana Kostovska
Gjorgjina Cenikj
Diederick Vermetten
Anja Jankovic
Ana Nikolikj
Urban Škvorc
Peter Korošec
Carola Doerr
T. Eftimov
71
2
0
14 Oct 2023
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML
  with OpenML
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML
Lennart Purucker
Joeran Beel
MoE
50
7
0
01 Jul 2023
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating
  AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
Diederick Vermetten
Furong Ye
Thomas Bäck
Carola Doerr
80
13
0
18 Jun 2023
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
Bas van Stein
Fu Xing Long
M. Frenzel
Peter Krause
M. Gitterle
T.H.W. Bäck
47
19
0
31 Mar 2023
Tools for Landscape Analysis of Optimisation Problems in Procedural
  Content Generation for Games
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games
Vanessa Volz
B. Naujoks
P. Kerschke
Tea Tušar
50
4
0
16 Feb 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
110
92
0
15 Feb 2023
PyPop7: A Pure-Python Library for Population-Based Black-Box
  Optimization
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
Qiqi Duan
Guochen Zhou
Chang Shao
Zhuowei Wang
Mingyang Feng
Yuwei Huang
Yajing Tan
Yijun Yang
Qi Zhao
Yuhui Shi
120
6
0
12 Dec 2022
OPTION: OPTImization Algorithm Benchmarking ONtology
OPTION: OPTImization Algorithm Benchmarking ONtology
Ana Kostovska
Diederick Vermetten
Carola Doerr
Jannis Brugger
P. Panov
T. Eftimov
81
11
0
21 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
41
1
0
21 Nov 2022
Towards Automated Design of Bayesian Optimization via Exploratory
  Landscape Analysis
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis
C. Benjamins
Anja Jankovic
Elena Raponi
K. Blom
Marius Lindauer
Carola Doerr
60
5
0
17 Nov 2022
Features for the 0-1 knapsack problem based on inclusionwise maximal
  solutions
Features for the 0-1 knapsack problem based on inclusionwise maximal solutions
Jorik Jooken
Pieter Leyman
P. D. Causmaecker
31
7
0
16 Nov 2022
mAPN: Modeling, Analysis, and Exploration of Algorithmic and Parallelism
  Adaptivity
mAPN: Modeling, Analysis, and Exploration of Algorithmic and Parallelism Adaptivity
Hasna Bouraoui
Chadlia Jerad
Omar Romdhani
J. Castrillón
21
0
0
15 Jul 2022
An AlphaZero-Inspired Approach to Solving Search Problems
An AlphaZero-Inspired Approach to Solving Search Problems
E. Dantsin
V. Kreinovich
A. Wolpert
37
0
0
02 Jul 2022
A portfolio-based analysis method for competition results
A portfolio-based analysis method for competition results
Nguyen Dang
42
1
0
30 May 2022
Automated Dynamic Algorithm Configuration
Automated Dynamic Algorithm Configuration
Steven Adriaensen
André Biedenkapp
Gresa Shala
Noor H. Awad
Theresa Eimer
Marius Lindauer
Frank Hutter
104
38
0
27 May 2022
Per-run Algorithm Selection with Warm-starting using Trajectory-based
  Features
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Ana Kostovska
Anja Jankovic
Diederick Vermetten
Jacob De Nobel
Hao Wang
T. Eftimov
Carola Doerr
82
37
0
20 Apr 2022
Analyzing the Impact of Undersampling on the Benchmarking and
  Configuration of Evolutionary Algorithms
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms
Diederick Vermetten
Hongya Wang
Manuel López-Ibánez
Carola Doerr
Thomas Bäck
72
8
0
20 Apr 2022
The Importance of Landscape Features for Performance Prediction of
  Modular CMA-ES Variants
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants
Ana Kostovska
Diederick Vermetten
Jannis Brugger
Carola Doerr
Peter Korošec
T. Eftimov
52
9
0
15 Apr 2022
Trajectory-based Algorithm Selection with Warm-starting
Trajectory-based Algorithm Selection with Warm-starting
Anja Jankovic
Diederick Vermetten
Ana Kostovska
Jacob De Nobel
T. Eftimov
Carola Doerr
80
10
0
13 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
45
17
0
24 Mar 2022
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box
  Context
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context
Z. Pitra
J. Koza
Jirí Tumpach
M. Holeňa
104
2
0
11 Feb 2022
Exploring the Feature Space of TSP Instances Using Quality Diversity
Exploring the Feature Space of TSP Instances Using Quality Diversity
Jakob Bossek
Frank Neumann
45
10
0
04 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
92
52
0
03 Feb 2022
Combining Fast and Slow Thinking for Human-like and Efficient Navigation
  in Constrained Environments
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments
M. B. Ganapini
Murray Campbell
F. Fabiano
L. Horesh
J. Lenchner
...
N. Mattei
Taher Rahgooy
F. Rossi
Biplav Srivastava
Brent Venable
AI4CE
58
6
0
18 Jan 2022
Explainable Landscape-Aware Optimization Performance Prediction
Explainable Landscape-Aware Optimization Performance Prediction
R. Trajanov
Stefan Dimeski
Martin Popovski
Peter Korošec
T. Eftimov
65
16
0
22 Oct 2021
Machine Learning for Online Algorithm Selection under Censored Feedback
Machine Learning for Online Algorithm Selection under Censored Feedback
Alexander Tornede
Viktor Bengs
Eyke Hüllermeier
83
3
0
13 Sep 2021
Algorithm Selection on a Meta Level
Algorithm Selection on a Meta Level
Alexander Tornede
Lukas Gehring
Tanja Tornede
Marcel Wever
Eyke Hüllermeier
56
19
0
20 Jul 2021
Generating Instances with Performance Differences for More Than Just Two
  Algorithms
Generating Instances with Performance Differences for More Than Just Two Algorithms
Jakob Bossek
Markus Wagner
77
5
0
29 Apr 2021
Personalizing Performance Regression Models to Black-Box Optimization
  Problems
Personalizing Performance Regression Models to Black-Box Optimization Problems
T. Eftimov
Anja Jankovic
Gorjan Popovski
Carola Doerr
Peter Korošec
44
6
0
22 Apr 2021
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance
  Regression and Algorithm Selection
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection
Anja Jankovic
Gorjan Popovski
T. Eftimov
Carola Doerr
51
23
0
19 Apr 2021
Analysis of Evolutionary Diversity Optimisation for Permutation Problems
Analysis of Evolutionary Diversity Optimisation for Permutation Problems
A. Do
Mingyu Guo
Aneta Neumann
Frank Neumann
43
18
0
23 Feb 2021
Darknet Traffic Big-Data Analysis and Network Management to Real-Time
  Automating the Malicious Intent Detection Process by a Weight Agnostic Neural
  Networks Framework
Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework
Konstantinos Demertzis
Konstantinos G. Tsiknas
Dimitrios Takezis
C. Skianis
L. Iliadis
13
42
0
16 Feb 2021
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm
  Selection
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection
Furong Ye
Carola Doerr
Thomas Bäck
49
7
0
12 Feb 2021
Towards Large Scale Automated Algorithm Design by Integrating Modular
  Benchmarking Frameworks
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks
Amine Aziz-Alaoui
Carola Doerr
Johann Dréo
58
12
0
12 Feb 2021
Towards Explainable Exploratory Landscape Analysis: Extreme Feature
  Selection for Classifying BBOB Functions
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions
Quentin Renau
Johann Dréo
Carola Doerr
Benjamin Doerr
54
33
0
01 Feb 2021
AutonoML: Towards an Integrated Framework for Autonomous Machine
  Learning
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
83
17
0
23 Dec 2020
Towards Meta-Algorithm Selection
Towards Meta-Algorithm Selection
Alexander Tornede
Marcel Wever
Eyke Hüllermeier
55
5
0
17 Nov 2020
Multi-Armed Bandits with Censored Consumption of Resources
Multi-Armed Bandits with Censored Consumption of Resources
Viktor Bengs
Eyke Hüllermeier
71
2
0
02 Nov 2020
Evolutionary Diversity Optimization and the Minimum Spanning Tree
  Problem
Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem
Jakob Bossek
Frank Neumann
41
25
0
21 Oct 2020
12
Next