Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2013, Article ID 528069, 3 pages
http://dx.doi.org/10.1155/2013/528069
Editorial

Swarm Intelligence and Its Applications

1School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China
2Department of Mathematics, Anand International College of Engineering, Near Kanota, Agra Road, Jaipur 303012, India
3Ambedkar Institute of Advanced Communication Technologies and Research, New Delhi, India
4Department of Electrical Engineering, Islamic Azad University, Gonabad Branch, Gonabad, Iran
5Suzhou University, Suzhou, Jiangsu, China

Received 16 September 2013; Accepted 16 September 2013

Copyright © 2013 Yudong Zhang 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 [20 citations]

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

  • Kleber Loayza, Pedro Lucas, and Enrique Pelaez, “A centralized control of movements using a collision avoidance algorithm for a swarm of autonomous agents,” 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM), pp. 1–6, . View at Publisher · View at Google Scholar
  • Te-Jen Su, Yi-Feng Chen, Hong-Quan Vu, Thanh-Hong Nguyen, and Fang-Tsung Liu, “A hybrid swarm algorithm for nonlinear function approximation,” 2016 International Conference on Applied System Innovation (ICASI), pp. 1–4, . View at Publisher · View at Google Scholar
  • Praveen Kalla, Ramji K Ramj, and P Ravindranath, “Swarm home robots,” 2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), pp. 139–144, . View at Publisher · View at Google Scholar
  • Kai Xu, and Long Qin, “Multi-agent formation control based on virtual forces,” 2015 5th International Conference on Information Science and Technology (ICIST), pp. 284–291, . View at Publisher · View at Google Scholar
  • Lianhang Dou, Min Li, Yang Li, Qing-Ying Zhao, Jie Li, and Zhongya Wang, “A novel artificial bee colony optimization algorithm for global path planning of multi-robot systems,” 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), pp. 1186–1191, . View at Publisher · View at Google Scholar
  • Long Qin, Yabing Zha, Quanjun Yin, and Yong Peng, “Formation Control of Robotic Swarm Using Bounded Artificial Forces,” The Scientific World Journal, vol. 2013, pp. 1–15, 2013. View at Publisher · View at Google Scholar
  • Yuan Xu, Xiyuan Chen, and Qinghua Li, “Adaptive Iterated Extended Kalman Filter and Its Application to Autonomous Integrated Navigation for Indoor Robot,” The Scientific World Journal, vol. 2014, pp. 1–7, 2014. View at Publisher · View at Google Scholar
  • Bai Li, Li-gang Gong, and Wen-lun Yang, “An Improved Artificial Bee Colony Algorithm Based on Balance-Evolution Strategy for Unmanned Combat Aerial Vehicle Path Planning,” The Scientific World Journal, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Roohollah Kalatehjari, Ahmad Safuan A Rashid, Nazri Ali, and Mohsen Hajihassani, “The Contribution of Particle Swarm Optimization to Three-Dimensional Slope Stability Analysis,” The Scientific World Journal, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • Jose Evora, Jose Juan Hernandez, Mario Hernandez, Gintautas Dzemyda, Olga Kurasova, and Enrique Kremers, “Swarm Intelligence for Frequency Management in Smart Grids,” Informatica (Netherlands), vol. 26, no. 3, pp. 419–434, 2015. View at Publisher · View at Google Scholar
  • Roohollah Kalatehjari, Ali Arefnia, Ahmad Safuan A Rashid, Nazri Ali, and Mohsen Hajihassani, “Determination of three-dimensional shape of failure in soil slopes,” Canadian Geotechnical Journal, pp. 1–19, 2015. View at Publisher · View at Google Scholar
  • Soumya Sankar Basu, “A Self-Organized Software Deployment Architecture for a Swarm Intelligent MANET,” Handbook of Research on Swarm Intelligence in Engineering, pp. 348–373, 2015. View at Publisher · View at Google Scholar
  • Maria-Isabel Sanchez-Segura, German-Lenin Dugarte-Peña, Fuensanta Medina-Dominguez, and Alejandro Ruiz-Robles, “A model of biomimetic process assets to simulate their impact on strategic goals,” Information Systems Frontiers, 2016. View at Publisher · View at Google Scholar
  • Hainan Wang, Yiding Lv, Hong Chen, Yujie Li, Yin Zhang, and Zhihai Lu, “Smart pathological brain detection system by predator-prey particle swarm optimization and single-hidden layer neural-network,” Multimedia Tools and Applications, 2016. View at Publisher · View at Google Scholar
  • Chunshan Xue, Hongwei Jiao, Yongqiang Chen, and Jingben Yin, “A range division and contraction approach for nonconvex quadratic program with quadratic constraints,” SpringerPlus, vol. 5, no. 1, 2016. View at Publisher · View at Google Scholar
  • Yi Zhang, Guolun Guan, and Xingchen Pu, “The Robot Path Planning Based on Improved Artificial Fish Swarm Algorithm,” Mathematical Problems in Engineering, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
  • T. Ljouad, A. Amine, and M. Rziza, “Mobile object tracking using the modified cuckoo search,” Bio-Inspired Computation and Applications in Image Processing, pp. 105–130, 2016. View at Publisher · View at Google Scholar
  • Yu-Dong Zhang, Zhang-Jing Yang, Hui-Min Lu, Xing-Xing Zhou, Preetha Phillips, Qing-Ming Liu, and Shui-Hua Wang, “Facial Emotion Recognition Based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation,” IEEE Access, vol. 4, pp. 8375–8385, 2016. View at Publisher · View at Google Scholar
  • Anjana Das, and M. Pal, “A mathematical study of an imprecise SIR epidemic model with treatment control,” Journal of Applied Mathematics and Computing, 2017. View at Publisher · View at Google Scholar
  • Himani Joshi, and Sankalap Arora, “Enhanced grey Wolf optimization algorithm for global optimization,” Fundamenta Informaticae, vol. 153, no. 3, pp. 235–264, 2017. View at Publisher · View at Google Scholar