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The Scientific World Journal
Volume 2013 (2013), Article ID 597803, 6 pages
http://dx.doi.org/10.1155/2013/597803
Research Article

A Novel Complex Valued Cuckoo Search Algorithm

1College of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, China
2Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis, Nanning 530006, China

Received 3 March 2013; Accepted 8 May 2013

Academic Editors: P. Agarwal, V. Bhatnagar, and Y. Zhang

Copyright © 2013 Yongquan Zhou and Hongqing Zheng. 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 [13 citations]

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

  • Oscar Castillo, Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, and Olivia Mendoza, “Optimization of interval type-2 fuzzy systems for image edge detection,” Applied Soft Computing Journal, vol. 47, pp. 631–643, 2013. View at Publisher · View at Google Scholar
  • Iztok Fister Jr., Dušan Fister, and Iztok Fistar, “A comprehensive review of Cuckoo search: Variants and hybrids,” International Journal of Mathematical Modelling and Numerical Optimisation, vol. 4, no. 4, pp. 387–409, 2013. View at Publisher · View at Google Scholar
  • S. Molla-Alizadeh-Zavardehi, R. Tavakkoli-Moghaddam, and F. Hosseinzadeh Lotfi, “Hybrid Metaheuristics for Solving a Fuzzy Single Batch-Processing Machine Scheduling Problem,” The Scientific World Journal, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Xueying Liu, and Meiling Fu, “Cuckoo search algorithm based on frog leaping local search and chaos theory,” Applied Mathematics and Computation, vol. 266, pp. 1083–1092, 2015. View at Publisher · View at Google Scholar
  • Jeng-Fung Chen, Quang Do, and Ho-Nien Hsieh, “Training Artificial Neural Networks by a Hybrid PSO-CS Algorithm,” Algorithms, vol. 8, no. 2, pp. 292–308, 2015. View at Publisher · View at Google Scholar
  • Lijin Wang, and Yiwen Zhong, “Cuckoo Search Algorithm with Chaotic Maps,” Mathematical Problems in Engineering, vol. 2015, pp. 1–14, 2015. View at Publisher · View at Google Scholar
  • Shilei Qiao, Yuxiang Zhou, Yongquan Zhou, Qifang Luo, and Rui Wang, “A novel complex-valued social spider optimization algorithm,” Journal of Computational and Theoretical Nanoscience, vol. 13, no. 5, pp. 3273–3289, 2016. View at Publisher · View at Google Scholar
  • Jyoti Yadav, Asha Rani, and Vijander Singh, “Performance Analysis of Fuzzy-PID Controller for Blood Glucose Regulation in Type-1 Diabetic Patients,” Journal of Medical Systems, vol. 40, no. 12, 2016. View at Publisher · View at Google Scholar
  • Gudivada Viswanadh Raviteja, Kadiyam Sridevi, Avvaru Jhansi Rani, and Veera Malleswara Rao, “Adaptive Uniform Circular Array Synthesis Using Cuckoo Search Algorithm,” Journal of Electromagnetic Analysis and Applications, vol. 08, no. 04, pp. 71–78, 2016. View at Publisher · View at Google Scholar
  • Haruna Chiroma, Tutut Herawan, Iztok Fister, Iztok Fister, Sameem Abdulkareem, Liyana Shuib, Mukhtar Fatihu Hamza, Younes Saadi, and Adamu Abubakar, “Bio-Inspired Computation: Recent Development on the Modifications of the Cuckoo Search Algorithm,” Applied Soft Computing, 2017. View at Publisher · View at Google Scholar
  • Yongquan Zhou, Zongfan Bao, Qifang Luo, and Sen Zhang, “A complex-valued encoding wind driven optimization for the 0-1 knapsack problem,” Applied Intelligence, vol. 46, no. 3, pp. 684–702, 2017. View at Publisher · View at Google Scholar
  • Mohammad Shehab, Ahamad Tajudin Khader, and Mohammed Azmi Al-Betar, “A survey on applications and variants of the cuckoo search algorithm,” Applied Soft Computing, 2017. View at Publisher · View at Google Scholar
  • Jeng-Fung Chen, Quang Do, Thi Nguyen, and Thi Doan, “Forecasting Monthly Electricity Demands by Wavelet Neuro-Fuzzy System Optimized by Heuristic Algorithms,” Information, vol. 9, no. 3, pp. 51, 2018. View at Publisher · View at Google Scholar