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ORCIDEnrique Alba 0001
Enrique Alba Torres
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- affiliation: University of Málaga, Department of Computer Sciences, Spain
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2020 – today
- 2024
[j155]José Á. Morell
, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba:
A multi-objective approach for communication reduction in federated learning under devices heterogeneity constraints. Future Gener. Comput. Syst. 155: 367-383 (2024)- [c233]Tomohiro Harada, Enrique Alba, Gabriel Luque:
Energy and Quality of Surrogate-Assisted Search Algorithms: a First Analysis. CEC 2024: 1-8 - [c232]Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Bilel Derbel, Enrique Alba:
Scalable Quantum Approximate Optimiser for Pseudo-Boolean Multi-objective Optimisation. PPSN (4) 2024: 268-284 - [i25]Christian Cintrano, Francisco Chicano, Enrique Alba:
Using metaheuristics for the location of bicycle stations. CoRR abs/2402.03945 (2024) - [i24]Miguel Ángel Domínguez-Ríos, Francisco Chicano, Enrique Alba, Isabel María del Águila, José del Sagrado:
Efficient anytime algorithms to solve the bi-objective Next Release Problem. CoRR abs/2402.04586 (2024) - [i23]Miguel Ángel Domínguez-Ríos, Francisco Chicano, Enrique Alba:
Effective anytime algorithm for multiobjective combinatorial optimization problems. CoRR abs/2403.08807 (2024) - 2023
- [j154]Christian Cintrano, Javier Ferrer, Manuel López-Ibáñez, Enrique Alba:
Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs. Evol. Comput. 31(1): 31-51 (2023) - [j153]Carolina Salto, Gabriela F. Minetti, Enrique Alba, Gabriel Luque:
Big optimization with genetic algorithms: Hadoop, Spark, and MPI. Soft Comput. 27(16): 11469-11484 (2023) - [c231]José Ángel Morell Martínez, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba:
Time Series Forecasting for Parking Occupancy: Case Study of Malaga and Birmingham Cities. OLA 2023: 368-379 - 2022
- [j152]Rubén Saborido, Javier Ferrer, Francisco Chicano, Enrique Alba:
Automatizing Software Cognitive Complexity Reduction. IEEE Access 10: 11642-11656 (2022) - [j151]Zakaria Abdelmoiz Dahi, Enrique Alba, Gabriel Luque:
A takeover time-driven adaptive evolutionary algorithm for mobile user tracking in pre-5G cellular networks. Appl. Soft Comput. 116: 107992 (2022) - [j150]Tomohiro Harada, Enrique Alba, Gabriel Luque:
A fresh approach to evaluate performance in distributed parallel genetic algorithms. Appl. Soft Comput. 119: 108540 (2022) - [j149]Zakaria Abdelmoiz Dahi, Enrique Alba:
Metaheuristics on quantum computers: Inspiration, simulation and real execution. Future Gener. Comput. Syst. 130: 164-180 (2022) - [j148]José Ángel Morell Martínez, Enrique Alba:
Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices. Future Gener. Comput. Syst. 133: 53-67 (2022) - [j147]Jamal Toutouh, Enrique Alba:
A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus. Sensors 22(17): 6585 (2022) - [c230]José Ángel Morell Martínez, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba:
Optimising Communication Overhead in Federated Learning Using NSGA-II. EvoApplications 2022: 317-333 - [c229]Zakaria Abdelmoiz Dahi, Gabriel Luque, Enrique Alba:
A Machine Learning-Based Approach for Economics-Tailored Applications: The Spanish Case Study. EvoApplications 2022: 567-583 - [c228]Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba:
Genetic algorithm for qubits initialisation in noisy intermediate-scale quantum machines: the IBM case study. GECCO 2022: 1164-1172 - [i22]José Ángel Morell Martínez, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba:
Optimising Communication Overhead in Federated Learning Using NSGA-II. CoRR abs/2204.02183 (2022) - 2021
- [j146]Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck:
Bayesian neural architecture search using a training-free performance metric. Appl. Soft Comput. 106: 107356 (2021) - [j145]Daniel H. Stolfi, Enrique Alba:
Yellow Swarm: LED panels to advise optimal alternative tours to drivers in the city of Malaga. Appl. Soft Comput. 109: 107566 (2021) - [j144]Tomohiro Harada, Enrique Alba:
Parallel Genetic Algorithms: A Useful Survey. ACM Comput. Surv. 53(4): 86:1-86:39 (2021) - [j143]Enrique Alba, Javier Ferrer, Ignacio Villalobos:
Metaheuristics and Software Engineering: Past, Present, and Future. Int. J. Softw. Eng. Knowl. Eng. 31(9): 1349-1375 (2021) - [j142]Miguel Ángel Domínguez-Ríos, Francisco Chicano, Enrique Alba:
Effective anytime algorithm for multiobjective combinatorial optimization problems. Inf. Sci. 565: 210-228 (2021) - [c227]Christian Cintrano, Jamal Toutouh, Enrique Alba:
Citizen Centric Optimal Electric Vehicle Charging Stations Locations in a Full City: Case of Malaga. CAEPIA 2021: 247-257 - [c226]Christian Cintrano, Javier Ferrer, Manuel López-Ibáñez, Enrique Alba:
Hybridization of Racing Methods with Evolutionary Operators for Simulation Optimization of Traffic Lights Programs. EvoCOP 2021: 17-33 - [c225]Miguel Ángel Domínguez-Ríos, Francisco Chicano, Enrique Alba:
Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics Plus Integer Linear Programming. EvoApplications 2021: 242-257 - [e10]Enrique Alba, Gabriel Luque, Francisco Chicano, Carlos Cotta, David Camacho, Manuel Ojeda-Aciego, Susana Montes, Alicia Troncoso, José C. Riquelme, Rodrigo Gil-Merino:
Advances in Artificial Intelligence - 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Málaga, Spain, September 22-24, 2021, Proceedings. Lecture Notes in Computer Science 12882, Springer 2021, ISBN 978-3-030-85712-7 [contents] - [i21]Tomohiro Harada, Enrique Alba, Gabriel Luque:
A Fresh Approach to Evaluate Performance in Distributed Parallel Genetic Algorithms. CoRR abs/2106.09922 (2021) - [i20]Andrés Camero, Jamal Toutouh, Enrique Alba:
Reliable and Fast Recurrent Neural Network Architecture Optimization. CoRR abs/2106.15295 (2021) - [i19]Christian Cintrano, Jamal Toutouh, Enrique Alba:
Citizen centric optimal electric vehicle charging stations locations in a full city: case of Malaga. CoRR abs/2109.04975 (2021) - 2020
- [j141]Andrés Camero, Jamal Toutouh, Enrique Alba:
Random error sampling-based recurrent neural network architecture optimization. Eng. Appl. Artif. Intell. 96: 103946 (2020) - [j140]Christian Cintrano, Francisco Chicano, Enrique Alba:
Using metaheuristics for the location of bicycle stations. Expert Syst. Appl. 161: 113684 (2020) - [j139]Abdelkamel Ben Ali, Gabriel Luque, Enrique Alba:
An efficient discrete PSO coupled with a fast local search heuristic for the DNA fragment assembly problem. Inf. Sci. 512: 880-908 (2020) - [j138]David A. Monge, Elina Pacini, Cristian Mateos, Enrique Alba, Carlos García Garino:
CMI: An online multi-objective genetic autoscaler for scientific and engineering workflows in cloud infrastructures with unreliable virtual machines. J. Netw. Comput. Appl. 149 (2020) - [j137]Andrea Villagra, Enrique Alba, Gabriel Luque:
A better understanding on traffic light scheduling: New cellular GAs and new in-depth analysis of solutions. J. Comput. Sci. 41: 101085 (2020) - [j136]Zakaria Abd El Moiz Dahi, Enrique Alba:
The grid-to-neighbourhood relationship in cellular GAs: from design to solving complex problems. Soft Comput. 24(5): 3569-3589 (2020) - [j135]Amr Abdelhafez, Gabriel Luque, Enrique Alba:
Parallel execution combinatorics with metaheuristics: Comparative study. Swarm Evol. Comput. 55: 100692 (2020) - [c224]Christian Cintrano, Javier Ferrer, Enrique Alba:
Intelligent System for the Reduction of Injuries in Archery. OLA 2020: 128-137 - [p23]Raquel Hernández Gómez, Carlos A. Coello Coello, Enrique Alba:
A Parallel Island Model for Hypervolume-Based Many-Objective Optimization. High-Performance Simulation-Based Optimization 2020: 247-273 - [i18]Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck:
Bayesian Neural Architecture Search using A Training-Free Performance Metric. CoRR abs/2001.10726 (2020)
2010 – 2019
- 2019
- [j134]Carolina Salto, Enrique Alba:
Cellular Genetic Algorithms: Understanding the Behavior of Using Neighborhoods. Appl. Artif. Intell. 33(10): 863-880 (2019) - [j133]Eduardo Segredo, Gabriel Luque, Carlos Segura, Enrique Alba:
Optimising Real-World Traffic Cycle Programs by Using Evolutionary Computation. IEEE Access 7: 43915-43932 (2019) - [j132]José Á. Morell, Andrés Camero, Enrique Alba:
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training. IEEE Access 7: 158671-158684 (2019) - [j131]Javier Ferrer, Manuel López-Ibáñez, Enrique Alba:
Reliable simulation-optimization of traffic lights in a real-world city. Appl. Soft Comput. 78: 697-711 (2019) - [j130]Javier Ferrer, Enrique Alba:
BIN-CT: Urban waste collection based on predicting the container fill level. Biosyst. 186 (2019) - [j129]Jorge J. Gómez-Sanz, Enrique Alba, José-Miguel Fernández-Güell:
Teaching Experiences in Academia to Understand the Impact of Smart Cities. IEEE Internet Things Mag. 2(2): 20-24 (2019) - [j128]Christian Cintrano, Francisco Chicano, Enrique Alba:
Facing robustness as a multi-objective problem: A bi-objective shortest path problem in smart regions. Inf. Sci. 503: 255-273 (2019) - [j127]Javier Arellano-Verdejo, Federico Alonso-Pecina, Enrique Alba, Adolfo Guzmán-Arenas:
Optimal allocation of public parking spots in a smart city: problem characterisation and first algorithms. J. Exp. Theor. Artif. Intell. 31(4): 575-597 (2019) - [j126]Miguel Ángel Domínguez-Ríos, Francisco Chicano, Enrique Alba, Isabel María del Águila, José del Sagrado:
Efficient anytime algorithms to solve the bi-objective Next Release Problem. J. Syst. Softw. 156: 217-231 (2019) - [j125]Amr Abdelhafez, Enrique Alba, Gabriel Luque:
Performance analysis of synchronous and asynchronous distributed genetic algorithms on multiprocessors. Swarm Evol. Comput. 49: 147-157 (2019) - [j124]Amr Abdelhafez, Enrique Alba, Gabriel Luque:
A component-based study of energy consumption for sequential and parallel genetic algorithms. J. Supercomput. 75(10): 6194-6219 (2019) - [c223]Amr Abdelhafez, Gabriel Luque, Enrique Alba:
Analyzing the Energy Consumption of Sequential and Parallel Metaheuristics. HPCS 2019: 121-128 - [i17]Andrés Camero, Jamal Toutouh, Enrique Alba:
A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks. CoRR abs/1909.02425 (2019) - [i16]José Á. Morell, Andrés Camero, Enrique Alba:
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training. CoRR abs/1910.07402 (2019) - 2018
- [j123]Daniel H. Stolfi, Enrique Alba:
Green Swarm: Greener routes with bio-inspired techniques. Appl. Soft Comput. 71: 952-963 (2018) - [j122]Andrés Camero, Javier Arellano-Verdejo, Enrique Alba:
Road map partitioning for routing by using a micro steady state evolutionary algorithm. Eng. Appl. Artif. Intell. 71: 155-165 (2018) - [j121]Daniel H. Stolfi, Enrique Alba:
Generating realistic urban traffic flows with evolutionary techniques. Eng. Appl. Artif. Intell. 75: 36-47 (2018) - [j120]Zakaria Abd El Moiz Dahi, Enrique Alba, Amer Draa:
A stop-and-start adaptive cellular genetic algorithm for mobility management of GSM-LTE cellular network users. Expert Syst. Appl. 106: 290-304 (2018) - [j119]Daniel H. Stolfi, Enrique Alba:
Epigenetic algorithms: A New way of building GAs based on epigenetics. Inf. Sci. 424: 250-272 (2018) - [j118]Martín Pedemonte, Francisco Luna, Enrique Alba:
A theoretical and empirical study of the trajectories of solutions on the grid of Systolic Genetic Search. Inf. Sci. 445-446: 97-117 (2018) - [j117]Jamal Toutouh, Javier Arellano-Verdejo, Enrique Alba:
BiPred: A Bilevel Evolutionary Algorithm for Prediction in Smart Mobility. Sensors 18(12): 4123 (2018) - [j116]Rubén Saborido, Foutse Khomh, Abram Hindle, Enrique Alba:
An app performance optimization advisor for mobile device app marketplaces. Sustain. Comput. Informatics Syst. 19: 29-42 (2018) - [j115]Jamal Toutouh, Enrique Alba:
A swarm algorithm for collaborative traffic in vehicular networks. Veh. Commun. 12: 127-137 (2018) - [c222]Andrés Camero, Jamal Toutouh, Enrique Alba:
Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach. CAEPIA 2018: 24-33 - [c221]Ignacio Villalobos, Javier Ferrer, Enrique Alba:
Measuring the Quality of Machine Learning and Optimization Frameworks. CAEPIA 2018: 128-139 - [c220]Christian Cintrano, Francisco Chicano, Thomas Stützle, Enrique Alba:
Studying Solutions of the p-Median Problem for the Location of Public Bike Stations. CAEPIA 2018: 198-208 - [c219]Javier Luque, Jamal Toutouh, Enrique Alba:
Reduction of the Size of Datasets by Using Evolutionary Feature Selection: The Case of Noise in a Modern City. CAEPIA 2018: 230-239 - [c218]José Á. Morell, Enrique Alba:
Running Genetic Algorithms in the Edge: A First Analysis. CAEPIA 2018: 251-261 - [c217]Carolina Salto, Gabriela F. Minetti, Enrique Alba, Gabriel Luque:
Developing Genetic Algorithms Using Different MapReduce Frameworks: MPI vs. Hadoop. CAEPIA 2018: 262-272 - [c216]Daniel H. Stolfi, Christian Cintrano, Francisco Chicano, Enrique Alba:
An Intelligent Advisor for City Traffic Policies. CAEPIA 2018: 383-393 - [c215]Daniel H. Stolfi, Christian Cintrano, Francisco Chicano, Enrique Alba:
Natural evolution tells us how to best make goods delivery: use vans. GECCO (Companion) 2018: 308-309 - [c214]Jamal Toutouh, Javier Luque, Enrique Alba:
Smart Campus Human Tracking: The Case of University of Málaga. ICSC-Cities 2018: 18-28 - [c213]Andrés Camero, Jamal Toutouh, Javier Ferrer, Enrique Alba:
Waste Generation Prediction in Smart Cities Through Deep Neuroevolution. ICSC-Cities 2018: 192-204 - [c212]Gabriel Luque, Enrique Alba:
Finding Best Compiler Options for Critical Software Using Parallel Algorithms. IDC 2018: 71-81 - [c211]Andrés Camero, Jamal Toutouh, Daniel H. Stolfi, Enrique Alba:
Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities. LION 2018: 386-401 - [c210]Enrique Alba:
How Can Metaheuristics Help Software Engineers? SSBSE 2018: 89-105 - [p22]Guillermo Leguizamón, Christian Blum, Enrique Alba:
Evolutionary Computation. Handbook of Approximation Algorithms and Metaheuristics (1) 2018: 379-394 - [e9]Pavel Krömer, Enrique Alba, Jeng-Shyang Pan, Václav Snásel:
Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017, Málaga, Spain, October 9-11, 2017. Advances in Intelligent Systems and Computing 682, Springer 2018, ISBN 978-3-319-68526-7 [contents] - [i15]Andrés Camero, Jamal Toutouh, Enrique Alba:
Low-Cost Recurrent Neural Network Expected Performance Evaluation. CoRR abs/1805.07159 (2018) - [i14]Javier Ferrer, Enrique Alba:
BIN-CT: Urban Waste Collection based in Predicting the Container Fill Level. CoRR abs/1807.01603 (2018) - [i13]Andrés Camero, Jamal Toutouh, Enrique Alba:
DLOPT: Deep Learning Optimization Library. CoRR abs/1807.03523 (2018) - [i12]David A. Monge, Elina Pacini, Cristian Mateos, Enrique Alba, Carlos García Garino:
CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines. CoRR abs/1811.00989 (2018) - 2017
- [j114]Renzo Massobrio, Jamal Toutouh, Sergio Nesmachnow, Enrique Alba:
Infrastructure Deployment in Vehicular Communication Networks Using a Parallel Multiobjective Evolutionary Algorithm. Int. J. Intell. Syst. 32(8): 801-829 (2017) - [j113]Sofiene Abidi, Saoussen Krichen, Enrique Alba, Juan Miguel Molina:
A Hybrid Heuristic for Solving a Parking Slot Assignment Problem for Groups of Drivers. Int. J. Intell. Transp. Syst. Res. 15(2): 85-97 (2017) - [j112]Hajer Ben-Romdhane, Saoussen Krichen, Enrique Alba:
A bi-population based scheme for an explicit exploration/exploitation trade-off in dynamic environments. J. Exp. Theor. Artif. Intell. 29(3): 453-479 (2017) - [j111]Abdelkamel Ben Ali, Gabriel Luque, Enrique Alba, Kamal E. Melkemi:
An improved problem aware local search algorithm for the DNA fragment assembly problem. Soft Comput. 21(7): 1709-1720 (2017) - [j110]Jamal Toutouh, Enrique Alba:
Parallel multi-objective metaheuristics for smart communications in vehicular networks. Soft Comput. 21(8): 1949-1961 (2017) - [j109]Pablo Vidal, Enrique Alba, Francisco Luna:
Solving optimization problems using a hybrid systolic search on GPU plus CPU. Soft Comput. 21(12): 3227-3245 (2017) - [j108]Gabriela F. Minetti, Gabriel Luque, Enrique Alba:
The Problem Aware Local Search algorithm: an efficient technique for permutation-based problems. Soft Comput. 21(18): 5193-5206 (2017) - [j107]Carlos Segura, Arturo Hernández Aguirre, Francisco Luna, Enrique Alba:
Improving Diversity in Evolutionary Algorithms: New Best Solutions for Frequency Assignment. IEEE Trans. Evol. Comput. 21(4): 539-553 (2017) - [c209]Andrés Camero, Javier Arellano-Verdejo, Christian Cintrano, Enrique Alba:
Tile map size optimization for real world routing by using differential evolution. CEC 2017: 1482-1488 - [c208]Amr Abdelhafez, Enrique Alba:
Speed-up of synchronous and asynchronous distributed Genetic Algorithms: A first common approach on multiprocessors. CEC 2017: 2677-2682 - [c207]Esteban Pérez-Wohlfeil, Francisco Chicano, Enrique Alba:
An Intelligent Data Analysis of the Structure of NP Problems for Efficient Solution: The Vehicle Routing Case. ECC 2017: 368-378 - [c206]Javier Ferrer, Francisco Chicano, Enrique Alba:
Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines. EvoApplications (2) 2017: 3-19 - [c205]Hajer Ben-Romdhane, Enrique Alba, Saoussen Krichen:
A new evolutionary approach using pre-post testing to trigger exploration and exploitation in DOPs. GECCO (Companion) 2017: 99-100 - [c204]Enrique Alba:
Intelligent systems for smart cities. GECCO (Companion) 2017: 942-958 - [c203]Daniel H. Stolfi, Enrique Alba:
Computing new optimized routes for GPS navigators using evolutionary algorithms. GECCO 2017: 1240-1247 - [c202]Gabriel Luque, Enrique Alba:
Designing an Efficient Self-adaptive Parallel Algorithm Using Math Oracles. INCoS 2017: 313-325 - [c201]José Á. Morell, Enrique Alba:
Distributed Genetic Algorithms on Portable Devices for Smart Cities. Smart-CT 2017: 51-62 - [c200]Daniel H. Stolfi, Enrique Alba, Xin Yao:
Predicting Car Park Occupancy Rates in Smart Cities. Smart-CT 2017: 107-117 - [c199]Christian Cintrano, Francisco Chicano, Enrique Alba:
Robust Bi-objective Shortest Path Problem in Real Road Networks. Smart-CT 2017: 128-136 - [e8]Enrique Alba, Francisco Chicano, Gabriel Luque:
Smart Cities - Second International Conference, Smart-CT 2017, Málaga, Spain, June 14-16, 2017, Proceedings. Lecture Notes in Computer Science 10268, Springer 2017, ISBN 978-3-319-59512-2 [contents] - [i11]Rubén Saborido, Foutse Khomh, Abram Hindle, Enrique Alba:
An App Performance Optimization Advisor for Mobile Device App Marketplaces. CoRR abs/1709.04916 (2017) - 2016
- [j106]Jamal Toutouh, Enrique Alba:
Light commodity devices for building vehicular ad hoc networks: An experimental study. Ad Hoc Networks 37: 499-511 (2016) - [j105]Briseida Sarasola, Karl F. Doerner, Verena Schmid, Enrique Alba:
Variable neighborhood search for the stochastic and dynamic vehicle routing problem. Ann. Oper. Res. 236(2): 425-461 (2016) - [j104]Hajer Ben-Romdhane, Enrique Alba, Saoussen Krichen:
Towards a dynamic modeling of the predator prey problem. Appl. Intell. 44(4): 755-770 (2016) - [j103]Javier Apolloni, Guillermo Leguizamón, Enrique Alba:
Two hybrid wrapper-filter feature selection algorithms applied to high-dimensional microarray experiments. Appl. Soft Comput. 38: 922-932 (2016) - [j102]Martín Pedemonte, Francisco Luna, Enrique Alba:
A Systolic Genetic Search for reducing the execution cost of regression testing. Appl. Soft Comput. 49: 1145-1161 (2016) - [j101]Marco A. Moreno-Armendáriz, Martin T. Hagan, Enrique Alba, José de Jesús Rubio, Carlos Alberto Cruz Villar, Guillermo Leguizamón:
Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications. Comput. Intell. Neurosci. 2016: 3263612:1 (2016) - [j100]Andrea Villagra, Enrique Alba, Guillermo Leguizamón:
A Methodology for the Hybridization Based in Active Components: The Case of cGA and Scatter Search. Comput. Intell. Neurosci. 2016: 8289237:1-8289237:11 (2016) - [j99]Yesnier Bravo, Gabriel Luque, Enrique Alba:
Global memory schemes for dynamic optimization. Nat. Comput. 15(2): 319-333 (2016) - [j98]Javier Arellano-Verdejo, Enrique Alba, Salvador Godoy-Calderón:
Efficiently finding the optimum number of clusters in a dataset with a new hybrid differential evolution algorithm: DELA. Soft Comput. 20(3): 895-905 (2016) - [c198]