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:
A Survey of Advances in Landscape Analysis for Optimisation
Katherine M. Malan
Algorithms (2021) Vol. 14, Iss. 2, pp. 40-40
Open Access | Times Cited: 99
Katherine M. Malan
Algorithms (2021) Vol. 14, Iss. 2, pp. 40-40
Open Access | Times Cited: 99
Showing 1-25 of 99 citing articles:
A landscape-aware particle swarm optimization for parameter identification of photovoltaic models
Yaxin Li, Kunjie Yu, Jing Liang, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109793-109793
Closed Access | Times Cited: 34
Yaxin Li, Kunjie Yu, Jing Liang, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109793-109793
Closed Access | Times Cited: 34
The intersection of evolutionary computation and explainable AI
Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 1757-1762
Open Access | Times Cited: 32
Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 1757-1762
Open Access | Times Cited: 32
Multi-objective fitness landscape-based estimation of distribution algorithm for distributed heterogeneous flexible job shop scheduling problem
Fuqing Zhao, Mengjie Li, Ningning Zhu, et al.
Applied Soft Computing (2025), pp. 112780-112780
Closed Access
Fuqing Zhao, Mengjie Li, Ningning Zhu, et al.
Applied Soft Computing (2025), pp. 112780-112780
Closed Access
Explainable Benchmarking for Iterative Optimization Heuristics
Bas van Stein, Diederick Vermetten, Anna V. Kononova, et al.
ACM Transactions on Evolutionary Learning and Optimization (2025)
Open Access
Bas van Stein, Diederick Vermetten, Anna V. Kononova, et al.
ACM Transactions on Evolutionary Learning and Optimization (2025)
Open Access
Bridging the Gap Between Theory and Practice: Fitness Landscape Analysis of Real-World Problems with Nearest-Better Network
Yiya Diao, Changhe Li, Junchen Wang, et al.
Information (2025) Vol. 16, Iss. 3, pp. 190-190
Open Access
Yiya Diao, Changhe Li, Junchen Wang, et al.
Information (2025) Vol. 16, Iss. 3, pp. 190-190
Open Access
Learning the characteristics of engineering optimization problems with applications in automotive crash
Fu Xing Long, Bas van Stein, Moritz Frenzel, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 1227-1236
Open Access | Times Cited: 23
Fu Xing Long, Bas van Stein, Moritz Frenzel, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 1227-1236
Open Access | Times Cited: 23
Fitness landscape analysis of convolutional neural network architectures for image classification
Nuno M. Rodrigues, Katherine M. Malan, Gabriela Ochoa, et al.
Information Sciences (2022) Vol. 609, pp. 711-726
Open Access | Times Cited: 20
Nuno M. Rodrigues, Katherine M. Malan, Gabriela Ochoa, et al.
Information Sciences (2022) Vol. 609, pp. 711-726
Open Access | Times Cited: 20
A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101534-101534
Open Access | Times Cited: 3
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101534-101534
Open Access | Times Cited: 3
Deep Mutations have Little Impact
William B. Langdon, David Clark
(2024), pp. 1-8
Closed Access | Times Cited: 3
William B. Langdon, David Clark
(2024), pp. 1-8
Closed Access | Times Cited: 3
Online metaheuristic algorithm selection
Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
Expert Systems with Applications (2022) Vol. 201, pp. 117058-117058
Open Access | Times Cited: 15
Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
Expert Systems with Applications (2022) Vol. 201, pp. 117058-117058
Open Access | Times Cited: 15
Adaptive local landscape feature vector for problem classification and algorithm selection
Yaxin Li, Jing Liang, Kunjie Yu, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109751-109751
Closed Access | Times Cited: 12
Yaxin Li, Jing Liang, Kunjie Yu, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109751-109751
Closed Access | Times Cited: 12
Adaptive Chaotic Marine Predators Hill Climbing Algorithm for Large-Scale Design Optimizations
Amin Abdollahi Dehkordi, Bahareh Etaati, Mehdi Neshat, et al.
IEEE Access (2023) Vol. 11, pp. 39269-39294
Open Access | Times Cited: 7
Amin Abdollahi Dehkordi, Bahareh Etaati, Mehdi Neshat, et al.
IEEE Access (2023) Vol. 11, pp. 39269-39294
Open Access | Times Cited: 7
Fundamental Tradeoffs Between Exploration and Exploitation Search Mechanisms
Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail
Emergence, complexity and computation (2024), pp. 101-199
Closed Access | Times Cited: 2
Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail
Emergence, complexity and computation (2024), pp. 101-199
Closed Access | Times Cited: 2
Local Fitness Landscape Exploration Based Genetic Algorithms
Rahul Dubey, Simon Hickinbotham, Mark Price, et al.
IEEE Access (2023) Vol. 11, pp. 3324-3337
Open Access | Times Cited: 6
Rahul Dubey, Simon Hickinbotham, Mark Price, et al.
IEEE Access (2023) Vol. 11, pp. 3324-3337
Open Access | Times Cited: 6
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 offline learning co-evolutionary algorithm with problem-specific knowledge
Fuqing Zhao, Bo Zhu, Ling Wang, et al.
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101148-101148
Closed Access | Times Cited: 10
Fuqing Zhao, Bo Zhu, Ling Wang, et al.
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101148-101148
Closed Access | Times Cited: 10
AutoML Loss Landscapes
Yasha Pushak, Holger H. Hoos
ACM Transactions on Evolutionary Learning and Optimization (2022) Vol. 2, Iss. 3, pp. 1-30
Closed Access | Times Cited: 10
Yasha Pushak, Holger H. Hoos
ACM Transactions on Evolutionary Learning and Optimization (2022) Vol. 2, Iss. 3, pp. 1-30
Closed Access | Times Cited: 10
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
Keenness for characterizing continuous optimization problems and predicting differential evolution algorithm performance
Yaxin Li, Jing Liang, Kunjie Yu, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 5, pp. 5251-5266
Open Access | Times Cited: 5
Yaxin Li, Jing Liang, Kunjie Yu, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 5, pp. 5251-5266
Open Access | Times Cited: 5
Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness
Arnaud Liefooghe, Gabriela Ochoa, Sebástien Vérel, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 713-721
Open Access | Times Cited: 5
Arnaud Liefooghe, Gabriela Ochoa, Sebástien Vérel, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 713-721
Open Access | Times Cited: 5
Automatic differentiation and the optimization of differential equation models in biology
Steven A. Frank
Frontiers in Ecology and Evolution (2022) Vol. 10
Open Access | Times Cited: 9
Steven A. Frank
Frontiers in Ecology and Evolution (2022) Vol. 10
Open Access | Times Cited: 9
Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization
Fu Xing Long, Bas van Stein, Moritz Frenzel, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 4, Iss. 2, pp. 1-26
Open Access | Times Cited: 1
Fu Xing Long, Bas van Stein, Moritz Frenzel, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 4, Iss. 2, pp. 1-26
Open Access | Times Cited: 1
Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming
Yifan He, Claus Aranha
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Open Access | Times Cited: 1
Yifan He, Claus Aranha
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Open Access | Times Cited: 1
Towards explainable metaheuristic
Manjinder Singh, Alexander E. I. Brownlee, David Cairns
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 1785-1793
Open Access | Times Cited: 7
Manjinder Singh, Alexander E. I. Brownlee, David Cairns
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 1785-1793
Open Access | Times Cited: 7
