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:
Dilation Functions in Global Optimization
Marco S. Nobile, Paolo Cazzaniga, Daniel Ashlock
2022 IEEE Congress on Evolutionary Computation (CEC) (2019), pp. 2300-2307
Closed Access | Times Cited: 13
Marco S. Nobile, Paolo Cazzaniga, Daniel Ashlock
2022 IEEE Congress on Evolutionary Computation (CEC) (2019), pp. 2300-2307
Closed Access | Times Cited: 13
Showing 13 citing articles:
Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design
Andrea Tangherloni, Simone Spolaor, Paolo Cazzaniga, et al.
Applied Soft Computing (2019) Vol. 81, pp. 105494-105494
Open Access | Times Cited: 54
Andrea Tangherloni, Simone Spolaor, Paolo Cazzaniga, et al.
Applied Soft Computing (2019) Vol. 81, pp. 105494-105494
Open Access | Times Cited: 54
Enhancement of radial basis function model via quantum kernel estimation
Xiaojian Zhou, Meng Zhang, Qi Cui, et al.
Journal of Mathematical Analysis and Applications (2025), pp. 129254-129254
Closed Access
Xiaojian Zhou, Meng Zhang, Qi Cui, et al.
Journal of Mathematical Analysis and Applications (2025), pp. 129254-129254
Closed Access
Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling
Luca Manzoni, Daniele M. Papetti, Paolo Cazzaniga, et al.
Entropy (2020) Vol. 22, Iss. 3, pp. 285-285
Open Access | Times Cited: 16
Luca Manzoni, Daniele M. Papetti, Paolo Cazzaniga, et al.
Entropy (2020) Vol. 22, Iss. 3, pp. 285-285
Open Access | Times Cited: 16
Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming
Daniele M. Papetti, Andrea Tangherloni, Davide Farinati, et al.
IEEE Computational Intelligence Magazine (2023) Vol. 18, Iss. 1, pp. 22-31
Closed Access | Times Cited: 3
Daniele M. Papetti, Andrea Tangherloni, Davide Farinati, et al.
IEEE Computational Intelligence Magazine (2023) Vol. 18, Iss. 1, pp. 22-31
Closed Access | Times Cited: 3
If You Can’t Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions
Daniele M. Papetti, Daniel Ashlock, Paolo Cazzaniga, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2021), pp. 1414-1422
Closed Access | Times Cited: 6
Daniele M. Papetti, Daniel Ashlock, Paolo Cazzaniga, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2021), pp. 1414-1422
Closed Access | Times Cited: 6
cuProCell: GPU-Accelerated Analysis of Cell Proliferation With Flow Cytometry Data
Marco S. Nobile, Eric Nisoli, Thalia Vlachou, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 11, pp. 3173-3181
Open Access | Times Cited: 4
Marco S. Nobile, Eric Nisoli, Thalia Vlachou, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 11, pp. 3173-3181
Open Access | Times Cited: 4
The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models
Caro Fuchs, Simone Spolaor, Uzay Kaymak, et al.
(2022), pp. 1-8
Closed Access | Times Cited: 3
Caro Fuchs, Simone Spolaor, Uzay Kaymak, et al.
(2022), pp. 1-8
Closed Access | Times Cited: 3
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization
Daniele M. Papetti, Vasco Coelho, Daniel Ashlock, et al.
(2022) Vol. 30, pp. 1-8
Closed Access | Times Cited: 3
Daniele M. Papetti, Vasco Coelho, Daniel Ashlock, et al.
(2022) Vol. 30, pp. 1-8
Closed Access | Times Cited: 3
Shaping and Dilating the Fitness Landscape for Parameter Estimation in Stochastic Biochemical Models
Marco S. Nobile, Daniele M. Papetti, Simone Spolaor, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6671-6671
Open Access | Times Cited: 2
Marco S. Nobile, Daniele M. Papetti, Simone Spolaor, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6671-6671
Open Access | Times Cited: 2
Fourier Surrogate Models of Dilated Fitness Landscapes in Systems Biology : or how we learned to torture optimization problems until they confess
Marco S. Nobile, Paolo Cazzaniga, Simone Spolaor, et al.
(2020), pp. 1-8
Closed Access | Times Cited: 2
Marco S. Nobile, Paolo Cazzaniga, Simone Spolaor, et al.
(2020), pp. 1-8
Closed Access | Times Cited: 2
Learning Global Optimization by Deep Reinforcement Learning
Moésio Wenceslau da Silva Filho, Gabriel A. Barbosa, Péricles Miranda
Lecture notes in computer science (2022), pp. 417-433
Closed Access | Times Cited: 1
Moésio Wenceslau da Silva Filho, Gabriel A. Barbosa, Péricles Miranda
Lecture notes in computer science (2022), pp. 417-433
Closed Access | Times Cited: 1
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts
Vasco Coelho, Daniele M. Papetti, Andrea Tangherloni, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2023), pp. 01-08
Closed Access
Vasco Coelho, Daniele M. Papetti, Andrea Tangherloni, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2023), pp. 01-08
Closed Access
Evolving Dilation Functions for Parameter Estimation
Daniele M. Papetti, Vasco Coelho
(2023), pp. 1-8
Closed Access
Daniele M. Papetti, Vasco Coelho
(2023), pp. 1-8
Closed Access
