Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2013, Article ID 969734, 12 pages
http://dx.doi.org/10.1155/2013/969734
Research Article

An Adaptive Cauchy Differential Evolution Algorithm for Global Numerical Optimization

1Department of Computer Engineering, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Suwon 440-746, Republic of Korea
2Robot Research Division, Daegu Gyeongbuk Institute of Science and Technology (DGIST), 50-1 Sang-ri, Hyeonpung-meyeon, Daegu 711-873, Republic of Korea

Received 3 May 2013; Accepted 6 June 2013

Academic Editors: P. Agarwal, S. Balochian, V. Bhatnagar, J. Yan, and Y. Zhang

Copyright © 2013 Tae Jong Choi 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 [17 citations]

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

  • Jong-Seong Kim, Chang Wook Ahn, Tae-Woo Kim, Hyun-Jin Lee, and Jong-Bae Lee, “A market-oriented wafer map optimization methodology using differential evolution to maximize wafer productivity,” 2017 28th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC), pp. 393–398, . View at Publisher · View at Google Scholar
  • Jong-Seong Kim, Chang Wook Ahn, Tae-Woo Kim, Hyun-Jin Lee, and Jong-Bae Lee, “A market-oriented wafer map optimization methodology using Differential Evolution to maximize wafer productivity,” 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 393–398, . View at Publisher · View at Google Scholar
  • Tae Jong Choi, and Chang Wook Ahn, “ ACDE 2 : An Adaptive Cauchy Differential Evolution Algorithm with Improved Convergence Speed ,” Journal of KIISE, vol. 41, no. 12, pp. 1090–1098, 2014. 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
  • Roman Senkerik, Ivan Zelinka, Michal Pluhacek, Donald Davendra, and Zuzana Oplatková Kominkova, “Chaos Enhanced Differential Evolution in the Task of Evolutionary Control of Selected Set of Discrete Chaotic Systems,” The Scientific World Journal, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • S. U. Khan, I. M. Qureshi, F. Zaman, B. Shoaib, A. Naveed, and A. Basit, “Correction of Faulty Sensors in Phased Array Radars Using Symmetrical Sensor Failure Technique and Cultural Algorithm with Differential Evolution,” The Scientific World Journal, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Christiaan D. Erdbrink, and Valeria V. Krzhizhano vskaya, “Identifying Self-excited Vibrations with Evolutionary Computing,” Procedia Computer Science, vol. 29, pp. 637–647, 2014. View at Publisher · View at Google Scholar
  • Christiaan D. Erdbrink, and Valeria V. Krzhizhanovskaya, “Differential evolution for system identification of self-excited vibrations,” Journal of Computational Science, 2015. View at Publisher · View at Google Scholar
  • Phuc Nguyen Hong, and Chang Wook Ahn, “Fast artificial bee colony and its application to stereo correspondence,” Expert Systems with Applications, 2015. View at Publisher · View at Google Scholar
  • Roman Senkerik, Ivan Zelinka, and Michal Pluhacek, “Chaos enhanced differential evolution in the task of evolutionary control of discrete chaotic Lozi map,” Advances in Electrical and Electronic Engineering, vol. 14, no. 3, pp. 304–317, 2016. View at Publisher · View at Google Scholar
  • Tae Jong Choi, and Chang Wook Ahn, “Adaptive α-stable differential evolution in numerical optimization,” Natural Computing, 2016. View at Publisher · View at Google Scholar
  • 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
  • et al. Abbas, “Tournament selection mechanism based random vector selection in differential evolution algorithm,” International Journal of ADVANCED AND APPLIED SCIENCES, vol. 4, no. 7, pp. 147–158, 2017. View at Publisher · View at Google Scholar
  • Tae Jong Choi, and Chang Wook Ahn, “Adaptive Cauchy Differential Evolution with Strategy Adaptation and Its Application to Training Large-Scale Artificial Neural Networks,” Bio-inspired Computing: Theories and Applications, vol. 791, pp. 502–510, 2017. View at Publisher · View at Google Scholar
  • Mirjam Sepesy Maučec, and Janez Brest, “A review of the recent use of Differential Evolution for Large-Scale Global Optimization: An analysis of selected algorithms on the CEC 2013 LSGO benchmark suite,” Swarm and Evolutionary Computation, 2018. View at Publisher · View at Google Scholar
  • Jyothilal Nayak Bharothu, M. Sridhar, and R. Srinivasa Rao, “Modified adaptive differential evolution based optimal operation and security of AC-DC microgrid systems,” International Journal of Electrical Power & Energy Systems, vol. 103, pp. 185–202, 2018. View at Publisher · View at Google Scholar
  • Tae Jong Choi, Yun-Gyung Cheong, and Chang Wook Ahn, “A Performance Comparison of Crossover Variations in Differential Evolution for Training Multi-layer Perceptron Neural Networks,” Bio-inspired Computing: Theories and Applications, vol. 952, pp. 477–488, 2018. View at Publisher · View at Google Scholar