OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Search Dynamics on Multimodal Multiobjective Problems
Pascal Kerschke, Hao Wang, Mike Preuß, et al.
Evolutionary Computation (2018) Vol. 27, Iss. 4, pp. 577-609
Open Access | Times Cited: 25
Pascal Kerschke, Hao Wang, Mike Preuß, et al.
Evolutionary Computation (2018) Vol. 27, Iss. 4, pp. 577-609
Open Access | Times Cited: 25
Showing 25 citing articles:
Automated Algorithm Selection: Survey and Perspectives
Pascal Kerschke, Holger H. Hoos, Frank Neumann, et al.
Evolutionary Computation (2018) Vol. 27, Iss. 1, pp. 3-45
Open Access | Times Cited: 329
Pascal Kerschke, Holger H. Hoos, Frank Neumann, et al.
Evolutionary Computation (2018) Vol. 27, Iss. 1, pp. 3-45
Open Access | Times Cited: 329
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
Zhichao Lu, Ran Cheng, Yaochu Jin, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 2, pp. 323-337
Open Access | Times Cited: 67
Zhichao Lu, Ran Cheng, Yaochu Jin, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 2, pp. 323-337
Open Access | Times Cited: 67
Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning
Pascal Kerschke, Heike Trautmann
Evolutionary Computation (2018) Vol. 27, Iss. 1, pp. 99-127
Open Access | Times Cited: 148
Pascal Kerschke, Heike Trautmann
Evolutionary Computation (2018) Vol. 27, Iss. 1, pp. 99-127
Open Access | Times Cited: 148
A novel scalable test problem suite for multimodal multiobjective optimization
Caitong Yue, Boyang Qu, Kunjie Yu, et al.
Swarm and Evolutionary Computation (2019) Vol. 48, pp. 62-71
Closed Access | Times Cited: 135
Caitong Yue, Boyang Qu, Kunjie Yu, et al.
Swarm and Evolutionary Computation (2019) Vol. 48, pp. 62-71
Closed Access | Times Cited: 135
Multi-modal multi-objective particle swarm optimization with self-adjusting strategy
Honggui Han, Yu-Cheng Liu, Ying Hou, et al.
Information Sciences (2023) Vol. 629, pp. 580-598
Closed Access | Times Cited: 33
Honggui Han, Yu-Cheng Liu, Ying Hou, et al.
Information Sciences (2023) Vol. 629, pp. 580-598
Closed Access | Times Cited: 33
Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis
Urban Škvorc, Tome Eftimov, Peter Korošec
Applied Soft Computing (2020) Vol. 90, pp. 106138-106138
Open Access | Times Cited: 67
Urban Škvorc, Tome Eftimov, Peter Korošec
Applied Soft Computing (2020) Vol. 90, pp. 106138-106138
Open Access | Times Cited: 67
Accuracy Can Lie: On the Impact of Surrogate Model in Configuration Tuning
Pengzhou Chen, Jingzhi Gong, Tao Chen
IEEE Transactions on Software Engineering (2025), pp. 1-33
Open Access
Pengzhou Chen, Jingzhi Gong, Tao Chen
IEEE Transactions on Software Engineering (2025), pp. 1-33
Open Access
Special-Crowd-Distance Boosted MESH Applied to the Operation of Cascade Hydro-Power Plants
Ronald Albert de Araújo Júnior, Gabriel Matos Cardoso Leite, S. Jiménez‐Fernández, et al.
Lecture notes in computer science (2025), pp. 442-456
Closed Access
Ronald Albert de Araújo Júnior, Gabriel Matos Cardoso Leite, S. Jiménez‐Fernández, et al.
Lecture notes in computer science (2025), pp. 442-456
Closed Access
Zoning Search With Adaptive Resource Allocating Method for Balanced and Imbalanced Multimodal Multi-Objective Optimization
Qinqin Fan, Okan K. Ersoy
IEEE/CAA Journal of Automatica Sinica (2021) Vol. 8, Iss. 6, pp. 1163-1176
Closed Access | Times Cited: 37
Qinqin Fan, Okan K. Ersoy
IEEE/CAA Journal of Automatica Sinica (2021) Vol. 8, Iss. 6, pp. 1163-1176
Closed Access | Times Cited: 37
A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization
Yiming Peng, Hisao Ishibuchi
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 5, pp. 886-900
Closed Access | Times Cited: 30
Yiming Peng, Hisao Ishibuchi
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 5, pp. 886-900
Closed Access | Times Cited: 30
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization
Christian Grimme, Pascal Kerschke, Pelin Aspar, et al.
Computers & Operations Research (2021) Vol. 136, pp. 105489-105489
Open Access | Times Cited: 24
Christian Grimme, Pascal Kerschke, Pelin Aspar, et al.
Computers & Operations Research (2021) Vol. 136, pp. 105489-105489
Open Access | Times Cited: 24
One PLOT to Show Them All: Visualization of Efficient Sets in Multi-objective Landscapes
Lennart Schäpermeier, Christian Grimme, Pascal Kerschke
Lecture notes in computer science (2020), pp. 154-167
Open Access | Times Cited: 21
Lennart Schäpermeier, Christian Grimme, Pascal Kerschke
Lecture notes in computer science (2020), pp. 154-167
Open Access | Times Cited: 21
Multimodality in Multi-objective Optimization – More Boon than Bane?
Christian Grimme, Pascal Kerschke, Heike Trautmann
Lecture notes in computer science (2019), pp. 126-138
Closed Access | Times Cited: 21
Christian Grimme, Pascal Kerschke, Heike Trautmann
Lecture notes in computer science (2019), pp. 126-138
Closed Access | Times Cited: 21
Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems
Arnaud Liefooghe, Sebástien Vérel, Benjamin Lacroix, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 421-429
Open Access | Times Cited: 14
Arnaud Liefooghe, Sebástien Vérel, Benjamin Lacroix, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 421-429
Open Access | Times Cited: 14
An Instance Space Analysis of Constrained Multiobjective Optimization Problems
Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 5, pp. 1427-1439
Open Access | Times Cited: 10
Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 5, pp. 1427-1439
Open Access | Times Cited: 10
Data-Driven Robust Multimodal Multiobjective Particle Swarm Optimization
Honggui Han, Yucheng Liu, Ying Hou, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 5, pp. 3231-3243
Closed Access | Times Cited: 1
Honggui Han, Yucheng Liu, Ying Hou, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 5, pp. 3231-3243
Closed Access | Times Cited: 1
On Bi-objective Convex-Quadratic Problems
Cheikh Touré, Anne Auger, Dimo Brockhoff, et al.
Lecture notes in computer science (2019), pp. 3-14
Closed Access | Times Cited: 10
Cheikh Touré, Anne Auger, Dimo Brockhoff, et al.
Lecture notes in computer science (2019), pp. 3-14
Closed Access | Times Cited: 10
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems
Lennart Schäpermeier, Christian Grimme, Pascal Kerschke
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 6, pp. 1306-1320
Closed Access | Times Cited: 5
Lennart Schäpermeier, Christian Grimme, Pascal Kerschke
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 6, pp. 1306-1320
Closed Access | Times Cited: 5
Multi$$^3$$: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization
Pelin Aspar, Pascal Kerschke, Vera Steinhoff, et al.
Lecture notes in computer science (2021), pp. 311-322
Closed Access | Times Cited: 5
Pelin Aspar, Pascal Kerschke, Vera Steinhoff, et al.
Lecture notes in computer science (2021), pp. 311-322
Closed Access | Times Cited: 5
Multimodal Optimization: Formulation, Heuristics, and a Decade of Advances
Mike Preuß, Michael G. Epitropakis, Xiaodong Li, et al.
Natural computing series (2021), pp. 1-26
Closed Access | Times Cited: 3
Mike Preuß, Michael G. Epitropakis, Xiaodong Li, et al.
Natural computing series (2021), pp. 1-26
Closed Access | Times Cited: 3
BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, et al.
Lecture notes in computer science (2022), pp. 192-206
Closed Access | Times Cited: 2
Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, et al.
Lecture notes in computer science (2022), pp. 192-206
Closed Access | Times Cited: 2
Lifting the Multimodality-Fog in Continuous Multi-objective Optimization
Pascal Kerschke, Christian Grimme
Natural computing series (2021), pp. 89-111
Closed Access | Times Cited: 2
Pascal Kerschke, Christian Grimme
Natural computing series (2021), pp. 89-111
Closed Access | Times Cited: 2
Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets
Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, et al.
Lecture notes in computer science (2023), pp. 291-304
Closed Access
Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, et al.
Lecture notes in computer science (2023), pp. 291-304
Closed Access
Challenges of Convex Quadratic Bi-objective Benchmark Problems
Tobias Glasmachers
arXiv (Cornell University) (2018)
Closed Access
Tobias Glasmachers
arXiv (Cornell University) (2018)
Closed Access
Empirical Study on the Benefits of Multiobjectivization for Solving Single-Objective Problems
Vera Steinhoff, Pascal Kerschke, Christian Grimme
arXiv (Cornell University) (2020)
Open Access
Vera Steinhoff, Pascal Kerschke, Christian Grimme
arXiv (Cornell University) (2020)
Open Access
