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The Scientific World Journal
Volume 2014 (2014), Article ID 739768, 15 pages
http://dx.doi.org/10.1155/2014/739768
Research Article

The Coral Reefs Optimization Algorithm: A Novel Metaheuristic for Efficiently Solving Optimization Problems

1Department of Signal Theory and Communications, Universidad de Alcalá, Escuela Politécnica Superior, 28871 Alcalá de Henares, Spain
2Tecnalia Research & Innovation., Parque Tecnológico de Bizkaia, Zamudio, 48170 Bizkaia, Spain

Received 4 April 2014; Accepted 19 June 2014; Published 22 July 2014

Academic Editor: Chun-Wei Tsai

Copyright © 2014 S. Salcedo-Sanz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [22 citations]

The following is the list of published articles that have cited the current article.

  • S. Salcedo-Sanz, P. García-Díaz, J.A. Portilla-Figueras, J. Del Ser, and S. Gil-López, “A Coral Reefs Optimization algorithm for optimal mobile network deployment with electromagnetic pollution control criterion,” Applied Soft Computing, vol. 24, pp. 239–248, 2014. View at Publisher · View at Google Scholar
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  • S. Salcedo-Sanz, “Modern meta-heuristics based on nonlinear physics processes: A review of models and design procedures,” Physics Reports, 2016. View at Publisher · View at Google Scholar
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  • S. Salcedo-Sanz, L. Cuadra, and M.J.A. Vermeij, “A review of Computational Intelligence techniques in coral reef-related applications,” Ecological Informatics, vol. 32, pp. 107–123, 2016. View at Publisher · View at Google Scholar
  • Sancho Salcedo-Sanz, Pilar García-Díaz, Javier Del Ser, Miren Nekane Bilbao, and José Antonio Portilla-Figueras, “A Novel Grouping Coral Reefs Optimization Algorithm for Optimal Mobile Network Deployment Problems under Electromagnetic Pollution and Capacity Control Criteria,” Expert Systems with Applications, 2016. View at Publisher · View at Google Scholar
  • Zhiyong Yang, Taohong Zhang, and Dezheng Zhang, “A novel algorithm with differential evolution and coral reef optimization for extreme learning machine training,” Cognitive Neurodynamics, vol. 10, no. 1, pp. 73–83, 2016. View at Publisher · View at Google Scholar
  • Cristina Perfecto, Miren Nekane Bilbao, Javier Del Ser, and Armando Ferro, “A simulation-based quantitative analysis on the topological heritability of Dandelion-encoded meta-heuristics for tree optimization problems,” Soft Computing, 2016. View at Publisher · View at Google Scholar
  • S. Salcedo-Sanz, “A review on the coral reefs optimization algorithm: new development lines and current applications,” Progress in Artificial Intelligence, vol. 6, no. 1, pp. 1–15, 2016. View at Publisher · View at Google Scholar
  • A. Foroughi Nematollahi, A. Rahiminejad, and B. Vahidi, “A novel physical based meta-heuristic optimization method known as Lightning Attachment Procedure Optimization,” Applied Soft Computing, 2017. View at Publisher · View at Google Scholar
  • Yikun Yang, Bintang Yang, and Muqing Niu, “Parameter identification of Jiles-Atherton model for magnetostrictive actuator using hybrid niching coral reefs optimization algorithm,” Sensors and Actuators A: Physical, 2017. View at Publisher · View at Google Scholar
  • S. Salcedo-Sanz, C. Camacho-Gómez, A. Magdaleno, E. Pereira, and A. Lorenzana, “Structures vibration control via Tuned Mass Dampers using a co-evolution Coral Reefs Optimization algorithm,” Journal of Sound and Vibration, vol. 393, pp. 62–75, 2017. View at Publisher · View at Google Scholar
  • Salcedo-Sanz, Aybar-Ruiz, Casanova-Mateo, Sanz-Justo, Jiménez-Fernández, and García-Herrera, “A CRO-species optimization scheme for robust global solar radiation statistical downscaling,” Renewable Energy, vol. 111, pp. 63–76, 2017. View at Publisher · View at Google Scholar
  • C. Camacho-Gómez, X. Wang, E. Pereira, I.M. Díaz, and S. Salcedo-Sanz, “Active vibration control design using the Coral Reefs Optimization with Substrate Layer algorithm,” Engineering Structures, vol. 157, pp. 14–26, 2018. View at Publisher · View at Google Scholar
  • Antonio M. Durán-Rosal, Pedro A. Gutiérrez, Sancho Salcedo-Sanz, and César Hervás-Martínez, “A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series,” Applied Soft Computing, vol. 63, pp. 139–153, 2018. View at Publisher · View at Google Scholar
  • Yikun Yang, Bintang Yang, and Muqing Niu, “Adaptive trajectory tracking of magnetostrictive actuator based on preliminary hysteresis compensation and further adaptive filter controller,” Nonlinear Dynamics, 2018. View at Publisher · View at Google Scholar
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  • Kashif Hussain, Mohd Najib Mohd Salleh, Shi Cheng, and Yuhui Shi, “Metaheuristic research: a comprehensive survey,” Artificial Intelligence Review, 2018. View at Publisher · View at Google Scholar