Enhancing the cuckoo search with levy flight through population estimation

• Main Authors: Mohd Nawi, Nazri, Shahuddin, Shah Liyana, Rehman, Muhammad Zubair, Khan, Abdullah
• Format: Article
• Language: English
• Published: Asian Research Publishing Network (ARPN) 2016
• Subjects: QA299.6-433 Analysis
• Online Access: http://eprints.uthm.edu.my/4295/1/AJ%202016%20%2834%29.pdf; http://eprints.uthm.edu.my/4295/
• Institution: Universiti Tun Hussein Onn Malaysia

This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (CS) algorithm to minimize the training error, achieve fast convergence rate and to avoid local minimum problem. The CS algorithm which imitates the cuckoo bird’s search behavior for finding the best ne...