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Journal of Engineering
Volume 2013, Article ID 982354, 7 pages
http://dx.doi.org/10.1155/2013/982354
Research Article

Parameter Optimization via Cuckoo Optimization Algorithm of Fuzzy Controller for Liquid Level Control

Department of Electrical Engineering, Islamic Azad University, Gonabad Branch, Khorasan-e-Razavi, Gonabad 96916-29, Iran

Received 28 December 2012; Revised 22 February 2013; Accepted 14 March 2013

Academic Editor: Mohammed Chadli

Copyright © 2013 Saeed Balochian and Eshagh Ebrahimi. 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 [16 citations]

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

  • Seyed Jalaleddin Mousavirad, and Hossein Ebrahimpour-Komleh, “Entropy based optimal multilevel thresholding using cuckoo optimization algorithm,” 2015 11th International Conference on Innovations in Information Technology (IIT), pp. 302–307, . View at Publisher · View at Google Scholar
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  • Mohamed Abdel-Basset, Abdel-Naser Hessin, and Lila Abdel-Fatah, “A comprehensive study of cuckoo-inspired algorithms,” Neural Computing and Applications, 2016. View at Publisher · View at Google Scholar
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  • Sadegh Niroomand, Ali Mahmoodirad, and Saber Molla-Alizadeh-Zavardehi, “Single Batch-Processing Machine Scheduling Problem with Fuzzy Due-Dates:,” Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, pp. 751–769, 2016. View at Publisher · View at Google Scholar
  • Saba Jafari, Omid Bozorg-Haddad, and Xuefeng Chu, “Cuckoo Optimization Algorithm (COA),” Advanced Optimization by Nature-Inspired Algorithms, vol. 720, pp. 39–49, 2017. View at Publisher · View at Google Scholar
  • Jeng-Fung Chen, Shih-Kuei Lo, and Quang Do, “Forecasting Monthly Electricity Demands: An Application of Neural Networks Trained by Heuristic Algorithms,” Information, vol. 8, no. 1, pp. 31, 2017. View at Publisher · View at Google Scholar
  • Roohollah Shirani Faradonbeh, and Masoud Monjezi, “Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms,” Engineering with Computers, 2017. View at Publisher · View at Google Scholar
  • Elfazziki Abdelaziz, Mansouri Fatimaezzahra, Benchikhi Loubna, and Sadgal Mohamed, “A novel adaptive discrete cuckoo search algorithm for parameter optimization in computer vision,” Inteligencia Artificial, vol. 20, no. 60, pp. 51–71, 2017. View at Publisher · View at Google Scholar
  • Seyed Jalaleddin Mousavirad, and Hossein Ebrahimpour-Komleh, “Image Segmentation as an Important Step in Image-Based Digital Technologies in Smart Cities: A New Nature-Based Approach,” Information Innovation Technology in Smart Cities, pp. 75–89, 2017. View at Publisher · View at Google Scholar
  • Mourad Turki, and Anis Sakly, “Extracting T–S Fuzzy Models Using the Cuckoo Search Algorithm,” Computational Intelligence and Neuroscience, vol. 2017, pp. 1–9, 2017. View at Publisher · View at Google Scholar
  • A. Aziz Khater, Ahmad M. El-Nagar, Mohammad El-Bardini, and Nabila M. El-Rabaie, “Adaptive T-S Fuzzy Controller using Reinforcement Learning Based on Lyapunov Stability,” Journal of the Franklin Institute, 2018. 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