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Discrete Dynamics in Nature and Society
Volume 2012, Article ID 638275, 24 pages
http://dx.doi.org/10.1155/2012/638275
Research Article

An Algorithm for Global Optimization Inspired by Collective Animal Behavior

CUCEI Departamento de Electrónica, Universidad de Guadalajara, Avenida Revolución 1500, 44100 Guadalajara, JAL, Mexico

Received 21 September 2011; Revised 15 November 2011; Accepted 16 November 2011

Academic Editor: Carlo Piccardi

Copyright © 2012 Erik Cuevas 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 [23 citations]

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

  • K. Prajindra Sankar, Tiong Sieh Kiong, and Johnny Koh Siaw Paw, “Optimization of array pattern for efficient control of adaptive nulling and side lobe level,” 2015 IEEE International Conference on Communication, Networks and Satellite (COMNESTAT), pp. 16–21, . View at Publisher · View at Google Scholar
  • Suman Kumar Saha, Sakti Prasad Ghoshal, and Durbadal Mandal, “Cat Swarm Optimization algorithm for optimal linear phase FIR filter design,” Isa Transactions, vol. 52, no. 6, pp. 781–794, 2013. View at Publisher · View at Google Scholar
  • Gopi Ram, Durbadal Mandal, Rajib Kar, and Sakti Prasad Ghoshal, “Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour,” The Scientific World Journal, vol. 2013, pp. 1–13, 2013. View at Publisher · View at Google Scholar
  • Dheepa, and Dhanapal, “Hybrid Approach for Improvising Credit Card Fraud Detection Based on Collective Animal Behaviour and SVM,” Communications in Computer and Information Science, vol. 377, pp. 293–302, 2013. View at Publisher · View at Google Scholar
  • Naser Ghorbani, and Ebrahim Babaei, “Exchange Market Algorithm,” Applied Soft Computing, 2014. View at Publisher · View at Google Scholar
  • Nasim Ali Khan, Sakti Prasad Ghoshal, and Saradindu Ghosh, “Optimal Allocation of Distributed Generation and Shunt Capacitors for the Reduction of Total Voltage Deviation and Total Line Loss in Radial Distribution Systems Using Binary Collective Animal Behavior Optimization Algorithm,” Electric Power Components and Systems, vol. 43, no. 2, pp. 119–133, 2014. View at Publisher · View at Google Scholar
  • Erik Cuevas, Jorge Gálvez, Salvador Hinojosa, Omar Avalos, Daniel Zaldívar, and Marco Pérez-Cisneros, “A Comparison of Evolutionary Computation Techniques for IIR Model Identification,” Journal of Applied Mathematics, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Genyun Sun, Zhenjie Wang, Yanjuan Yao, and Aizhu Zhang, “A hybrid genetic algorithm and gravitational search algorithm for global optimization,” Neural Network World, vol. 25, no. 1, pp. 53–73, 2015. View at Publisher · View at Google Scholar
  • Erik Cuevas, Adrian Gonzalez, Daniel Zaldivar, and Marco Perez-Cisneros, “An optimisation algorithm based on the behaviour of locust swarms,” International Journal Of Bio-Inspired Computation, vol. 7, no. 6, pp. 402–407, 2015. View at Publisher · View at Google Scholar
  • Vivekananda Haldar, and Niladri Chakraborty, “A novel evolutionary technique based on electrolocation principle of elephant nose fish and shark: fish electrolocation optimization,” Soft Computing, 2016. View at Publisher · View at Google Scholar
  • Erik Cuevas, Valentín Osuna, Diego Oliva, Erik Cuevas, Valentín Osuna, and Diego Oliva, “Introduction,” Evolutionary Computation Techniques: A Comparative Perspective, vol. 686, pp. 1–8, 2016. View at Publisher · View at Google Scholar
  • Erik Cuevas, Valentín Osuna, Diego Oliva, Erik Cuevas, Valentín Osuna, and Diego Oliva, “Filter Design,” Evolutionary Computation Techniques: A Comparative Perspective, vol. 686, pp. 205–222, 2016. View at Publisher · View at Google Scholar
  • K. Prajindra Sankar, Tiong Sieh Kiong, and Johnny Koh Siaw Paw, “Dynamic social behavior algorithm for real-parameter optimization problems and optimization of hyper beamforming of linear antenna arrays,” Engineering Applications of Artificial Intelligence, vol. 64, pp. 401–414, 2017. View at Publisher · View at Google Scholar
  • Margarita Arimatea Díaz-Cortés, Erik Cuevas, Jorge Gálvez, and Octavio Camarena, “A new metaheuristic optimization methodology based on Fuzzy Logic,” Applied Soft Computing, 2017. View at Publisher · View at Google Scholar
  • Jorge Gálvez, Erik Cuevas, Omar Avalos, Diego Oliva, and Salvador Hinojosa, “Electromagnetism-like mechanism with collective animal behavior for multimodal optimization,” Applied Intelligence, 2017. View at Publisher · View at Google Scholar
  • Yong Zhu, Wanlu Jiang, Xiangdong Kong, Lingxiao Quan, and Yongshun Zhang, “A chaos wolf optimization algorithm with self-adaptive variable step-size,” AIP Advances, vol. 7, no. 10, pp. 105024, 2017. View at Publisher · View at Google Scholar
  • Diego Oliva, and Erik Cuevas, “Optimization,” Intelligent Systems Reference Library, vol. 117, pp. 13–21, 2017. View at Publisher · View at Google Scholar
  • Bharat V. Chawda, and Jayeshkumar Madhubhai Patel, “Investigating performance of various natural computing algorithms,” International Journal of Intelligent Systems and Applications, vol. 9, no. 1, pp. 46–59, 2017. View at Publisher · View at Google Scholar
  • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, and Raúl Rojas, “Introduction,” Intelligent Systems Reference Library, vol. 129, pp. 1–12, 2017. View at Publisher · View at Google Scholar
  • Vikram Kumar Kamboj, Ashutosh Bhadoria, and Nishant Gupta, “A Novel Hybrid GWO-PS Algorithm for Standard Benchmark Optimization Problems,” INAE Letters, 2018. View at Publisher · View at Google Scholar
  • Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros, Erik Cuevas, Daniel Zaldívar, and Marco Pérez-Cisneros, “Introduction,” Advances in Metaheuristics Algorithms: Methods and Applications, vol. 775, pp. 1–8, 2018. View at Publisher · View at Google Scholar
  • Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros, Erik Cuevas, Daniel Zaldívar, and Marco Pérez-Cisneros, “The Metaheuristic Algorithm of the Locust-Search,” Advances in Metaheuristics Algorithms: Methods and Applications, vol. 775, pp. 57–76, 2018. View at Publisher · View at Google Scholar
  • Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros, Erik Cuevas, Daniel Zaldívar, and Marco Pérez-Cisneros, “Metaheuristic Algorithms Based on Fuzzy Logic,” Advances in Metaheuristics Algorithms: Methods and Applications, vol. 775, pp. 167–218, 2018. View at Publisher · View at Google Scholar