New modified controlled bat algorithm for numerical optimization problem

• Main Authors: Waqas Haider Bangyal, Abdul Hameed, Jamil Ahmad, Kashif Nisar, Muhammad Reazul Haque, Ag. Asri Ag. Ibrahim, Joel J. P. C. Rodrigues, M. Adil Khan, Danda B. Rawat, Richard Etengu
• Format: Article
• Language: English; English
• Published: Tech Science Press 2022
• Subjects: QA75.5-76.95 Electronic computers. Computer science
• Online Access: https://eprints.ums.edu.my/id/eprint/31848/1/Bat%20algorithm%20%28BA%29%20is%20an%20eminent%20meta-heuristic%20algorithm%20that%20has%20been%20widely%20used%20to%20solve%20diverse%20kinds%20of%20optimization%20problems.pdf; https://eprints.ums.edu.my/id/eprint/31848/2/Bat%20algorithm%20%28BA%29%20is%20an%20eminent%20meta-heuristic%20algorithm%20that%20has%20been%20widely%20used%20to%20solve%20diverse%20kinds%20of%20optimization%20problems1.pdf; https://eprints.ums.edu.my/id/eprint/31848/; https://www.techscience.com/ueditor/files/cmc/TSP_CMC_70-2/TSP_CMC_17789/TSP_CMC_17789.pdf; http://dx.doi.org/10.32604/cmc.2022.017789

Bat algorithm (BA) is an eminent meta-heuristic algorithm that has been widely used to solve diverse kinds of optimization problems. BA leverages the echolocation feature of bats produced by imitating the bats’ searching behavior. BA faces premature convergence due to its local search capability. In...