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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:

On Pareto Local Optimal Solutions Networks
Arnaud Liefooghe, Bilel Derbel, Sebástien Vérel, et al.
Lecture notes in computer science (2018), pp. 232-244
Open Access | Times Cited: 24

Showing 24 citing articles:

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
A survey of fitness landscape analysis for optimization
Feng Zou, Debao Chen, Hui Liu, et al.
Neurocomputing (2022) Vol. 503, pp. 129-139
Closed Access | Times Cited: 43
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
Empirical Comparison between MOEAs and Local Search on Multi-Objective Combinatorial Optimisation Problems
Miqing Li, Xiaofeng Han, Xiaochen Chu, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 547-556
Closed Access | Times Cited: 2
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
MOEAs Are Stuck in a Different Area at a Time
Miqing Li, Xiaofeng Han, Xiaochen Chu
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 303-311
Open Access | Times Cited: 7
Visualising the landscape of multi-objective problems using local optima networks
Jonathan E. Fieldsend, Khulood Alyahya
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2019), pp. 1421-1429
Open Access | Times Cited: 20
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
Pareto Landscape: Visualising the Landscape of Multi-objective Optimisation Problems
Zimin Liang, Zhiji Cui, Miqing Li
Lecture notes in computer science (2024), pp. 299-315
Closed Access | Times Cited: 1
Pareto Local Search is Competitive with Evolutionary Algorithms for Multi-Objective Neural Architecture Search
Quan Phan, Ngoc Hoang Luong
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 348-356
Open Access | Times Cited: 3
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
Multi-objective NK landscapes with heterogeneous objectives
Raphaël Cosson, Roberto Santana, Bilel Derbel, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 502-510
Open Access | Times Cited: 4
GECCO 2023 Tutorial on Benchmarking Multiobjective Optimizers 2.0
Dimo Brockhoff, Tea Tušar
(2023), pp. 1183-1212
Open Access | Times Cited: 2
Finding Sets of Solutions for Temporal Uncertain Problems
Jens Weise, Sanaz Mostaghim
Lecture notes in computer science (2024), pp. 209-223
Closed Access
Designing Helper Objectives in Multi-Objectivization
Shoichiro Tanaka, Arnaud Liefooghe, Keiki Takadama, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Funnels in Multi-objective Fitness Landscapes
Gabriela Ochoa, Arnaud Liefooghe, Sebástien Vérel
Lecture notes in computer science (2024), pp. 343-359
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
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective
Arnaud Liefooghe, Sebástien Vérel, Tinkle Chugh, et al.
Lecture notes in computer science (2023), pp. 260-273
Closed Access | Times Cited: 1
On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators
Brahim Aboutaib, Sebástien Vérel, Cyril Fonlupt, et al.
Lecture notes in computer science (2020), pp. 97-110
Open Access | Times Cited: 2
GECCO 2022 tutorial on benchmarking multiobjective optimizers 2.0
Dimo Brockhoff, Tea Tušar
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 1269-1309
Open Access | Times Cited: 1
Impacts of Single-objective Landscapes on Multi-objective Optimization
Shoichiro Tanaka, Keiki Takadama, Hiroyuki Satō
2022 IEEE Congress on Evolutionary Computation (CEC) (2022), pp. 1-8
Closed Access | Times Cited: 1
Multi-objectivization Relaxes Multi-funnel Structures in Single-objective NK-landscapes
Shoichiro Tanaka, Keiki Takadama, Hiroyuki Satō
Lecture notes in computer science (2023), pp. 195-210
Closed Access
Boomerang-shaped neural embeddings for NK landscapes
Roberto Santana, Arnaud Liefooghe, Bilel Derbel
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 858-866
Open Access
Benchmarking multiobjective optimizers 2.0
Dimo Brockhoff, Tea Tušar
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2021), pp. 664-668
Open Access
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