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:
Pareto-based many-objective optimization using knee points
Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2022 IEEE Congress on Evolutionary Computation (CEC) (2016), pp. 3678-3686
Closed Access | Times Cited: 14
Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2022 IEEE Congress on Evolutionary Computation (CEC) (2016), pp. 3678-3686
Closed Access | Times Cited: 14
Showing 14 citing articles:
A Scalability Study of Many-Objective Optimization Algorithms
Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
IEEE Transactions on Evolutionary Computation (2016) Vol. 22, Iss. 1, pp. 79-96
Open Access | Times Cited: 61
Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
IEEE Transactions on Evolutionary Computation (2016) Vol. 22, Iss. 1, pp. 79-96
Open Access | Times Cited: 61
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization
Guo Yu, Lianbo Ma, Yaochu Jin, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 6, pp. 1452-1472
Closed Access | Times Cited: 36
Guo Yu, Lianbo Ma, Yaochu Jin, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 6, pp. 1452-1472
Closed Access | Times Cited: 36
Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization
Vikas Palakonda, Jae‐Mo Kang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 12, pp. 7618-7630
Closed Access | Times Cited: 12
Vikas Palakonda, Jae‐Mo Kang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 12, pp. 7618-7630
Closed Access | Times Cited: 12
A Many-Objective Particle Swarm Optimizer With Leaders Selected From Historical Solutions by Using Scalar Projections
Yi Xiang, Yuren Zhou, Zefeng Chen, et al.
IEEE Transactions on Cybernetics (2018) Vol. 50, Iss. 5, pp. 2209-2222
Closed Access | Times Cited: 32
Yi Xiang, Yuren Zhou, Zefeng Chen, et al.
IEEE Transactions on Cybernetics (2018) Vol. 50, Iss. 5, pp. 2209-2222
Closed Access | Times Cited: 32
Pareto Explorer for Finding the Knee for Many Objective Optimization Problems
Oliver Cuate, Oliver Schütze
Mathematics (2020) Vol. 8, Iss. 10, pp. 1651-1651
Open Access | Times Cited: 19
Oliver Cuate, Oliver Schütze
Mathematics (2020) Vol. 8, Iss. 10, pp. 1651-1651
Open Access | Times Cited: 19
A scalability study of the multi-guide particle swarm optimization algorithm to many-objectives
Cian Steenkamp, Andries P. Engelbrecht
Swarm and Evolutionary Computation (2021) Vol. 66, pp. 100943-100943
Closed Access | Times Cited: 17
Cian Steenkamp, Andries P. Engelbrecht
Swarm and Evolutionary Computation (2021) Vol. 66, pp. 100943-100943
Closed Access | Times Cited: 17
A hybrid greedy indicator- and Pareto-based many-objective evolutionary algorithm
Matheus Carvalho de Oliveira, Myriam Delgado, André Britto
Applied Intelligence (2021) Vol. 51, Iss. 7, pp. 4330-4352
Closed Access | Times Cited: 13
Matheus Carvalho de Oliveira, Myriam Delgado, André Britto
Applied Intelligence (2021) Vol. 51, Iss. 7, pp. 4330-4352
Closed Access | Times Cited: 13
CSFPA: An intelligent hybrid workflow scheduling algorithm based upon global and local optimization approach in cloud
Gaurav Sharma, Savita Khurana, Shilpi Harnal, et al.
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 23
Closed Access | Times Cited: 7
Gaurav Sharma, Savita Khurana, Shilpi Harnal, et al.
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 23
Closed Access | Times Cited: 7
A Distributed Bi-behaviors Crow Search Algorithm for Dynamic Multi-Objective Optimization and Many-Objective Optimization
Ahlem Aboud, Nizar Rokbani, Seyedali Mirjalili, et al.
(2021)
Open Access | Times Cited: 6
Ahlem Aboud, Nizar Rokbani, Seyedali Mirjalili, et al.
(2021)
Open Access | Times Cited: 6
A Distributed Bi-Behaviors Crow Search Algorithm for Dynamic Multi-Objective Optimization and Many-Objective Optimization Problems
Ahlem Aboud, Nizar Rokbani, Bilel Neji, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9627-9627
Open Access | Times Cited: 4
Ahlem Aboud, Nizar Rokbani, Bilel Neji, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9627-9627
Open Access | Times Cited: 4
Influence of Reference Points on a Many-Objective Optimization Algorithm
Matheus C. Carvalho, André Britto
(2018), pp. 31-36
Closed Access | Times Cited: 4
Matheus C. Carvalho, André Britto
(2018), pp. 31-36
Closed Access | Times Cited: 4
Online intensification of search around solutions of interest for multi/many-objective optimization
Tapabrata Ray, Hemant Kumar Singh, Ahsanul Habib, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-8
Closed Access | Times Cited: 2
Tapabrata Ray, Hemant Kumar Singh, Ahsanul Habib, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-8
Closed Access | Times Cited: 2
A Distributed Bi-behaviors Crow Search Algorithm for Dynamic Multi-Objective Optimization and Many-Objective Optimization
Ahlem Aboud, Nizar Rokbani, Adel M. Alimi, et al.
(2021)
Open Access
Ahlem Aboud, Nizar Rokbani, Adel M. Alimi, et al.
(2021)
Open Access
A Distributed Bi-behaviors Crow Search Algorithm for Dynamic Multi-Objective Optimization and Many-Objective Optimization
Ahlem Aboud, Nizar Rokbani, Seyedali Mirjalili, et al.
(2021)
Open Access
Ahlem Aboud, Nizar Rokbani, Seyedali Mirjalili, et al.
(2021)
Open Access
