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OpenAlex Citation Counts

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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 Trajectory Networks of Population-Based Algorithms in Continuous Spaces
Gabriela Ochoa, Katherine M. Malan, Christian Blum
Lecture notes in computer science (2020), pp. 70-85
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics
Gabriela Ochoa, Katherine M. Malan, Christian Blum
Applied Soft Computing (2021) Vol. 109, pp. 107492-107492
Open Access | Times Cited: 64
How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions
Wolfgang Banzhaf, Ting Hu, Gabriela Ochoa
Genetic and evolutionary computation (2024), pp. 65-86
Closed Access | Times Cited: 5
Towards Feature-Based Performance Regression Using Trajectory Data
Anja Jankovič, Tome Eftimov, Carola Doerr
Lecture notes in computer science (2021), pp. 601-617
Open Access | Times Cited: 24
Search Trajectories Networks of Multiobjective Evolutionary Algorithms
Yuri Lavinas, Claus Aranha, Gabriela Ochoa
Lecture notes in computer science (2022), pp. 223-238
Closed Access | Times Cited: 13
Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments
Yapei Wu, Xingguang Peng, Handing Wang, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 3, pp. 686-700
Closed Access | Times Cited: 12
Phenotype Search Trajectory Networks for Linear Genetic Programming
Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf
Lecture notes in computer science (2023), pp. 52-67
Closed Access | Times Cited: 6
Exploratory Landscape Analysis
Pascal Kerschke, Mike Preuß
(2023), pp. 990-1007
Closed Access | Times Cited: 6
Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation
Gabriela Ochoa, Arnaud Liefooghe, Yuri Lavinas, et al.
Lecture notes in computer science (2023), pp. 211-226
Closed Access | Times Cited: 5
On the Investigation of Multimodal Evolutionary Algorithms Using Search Trajectory Networks
Thai Bao Tran, Ngoc Hoang Luong
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 32-40
Closed Access | Times Cited: 1
Recombination and Novelty in Neuroevolution: A Visual Analysis
Stefano Sarti, Jason Adair, Gabriela Ochoa
SN Computer Science (2022) Vol. 3, Iss. 3
Open Access | Times Cited: 8
Adaptive Covariance Pattern Search
Ferrante Neri
Lecture notes in computer science (2021), pp. 178-193
Closed Access | Times Cited: 8
Under the Hood of Transfer Learning for Deep Neuroevolution
Stefano Sarti, Nuno Laurenço, Jason Adair, et al.
Lecture notes in computer science (2023), pp. 640-655
Closed Access | Times Cited: 2
Multiobjective Evolutionary Component Effect on Algorithm Behaviour
Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa, et al.
ACM Transactions on Evolutionary Learning and Optimization (2023) Vol. 4, Iss. 2, pp. 1-24
Open Access | Times Cited: 2
A NEAT Visualisation of Neuroevolution Trajectories
Stefano Sarti, Gabriela Ochoa
Lecture notes in computer science (2021), pp. 714-728
Closed Access | Times Cited: 6
Search Trajectory Networks Meet the Web: A Web Application for the Visual Comparison of Optimization Algorithms
Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa
(2023), pp. 89-96
Closed Access | Times Cited: 2
Generalised Pattern Search with Restarting Fitness Landscape Analysis
Ferrante Neri
SN Computer Science (2021) Vol. 3, Iss. 2
Open Access | Times Cited: 5
Large Language Models for the Automated Analysis of Optimization Algorithms
Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 160-168
Open Access
Understanding Search Trajectories in Parameter Tuning
María Riveros, Nicolás Rojas-Morales, Elizabeth Montero, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 778-786
Closed Access
Multimodal Adaptive Graph Evolution for Program Synthesis
Camilo De La Torre, Yuri Lavinas, Kévin Cortacero, et al.
Lecture notes in computer science (2024), pp. 306-321
Closed Access
Landscape Analysis of Optimisation Problems and Algorithms
Gabriela Ochoa, Katherine M. Malan
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024) Vol. 2020, pp. 984-1004
Closed Access
On the use of $$(1,\lambda )$$-evolution strategy as efficient local search mechanism for discrete optimization: a behavioral analysis
Sara Tari, Matthieu Basseur, Adrien Goëffon
Natural Computing (2020) Vol. 20, Iss. 3, pp. 345-361
Closed Access | Times Cited: 4
Neuroevolution Trajectory Networks of the Behaviour Space
Stefano Sarti, Jason Adair, Gabriela Ochoa
Lecture notes in computer science (2022), pp. 685-703
Closed Access | Times Cited: 3
Explaining Optimisation of Offshore Wind Farms Using Metaheuristics
Mathew J. Walter, Pawel L. Manikowski, Matthew J. Craven, et al.
(2024), pp. 1-14
Closed Access
Explaining Optimisation of Offshore Wind Farms Using Metaheuristics
Mathew J. Walter, Pawel L. Manikowski, Matthew J. Craven, et al.
(2024), pp. 1093-1106
Closed Access
Landscape Analysis of Optimization Problems and Algorithms
Katherine M. Malan, Gabriela Ochoa
(2023), pp. 1416-1432
Closed Access | Times Cited: 1
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