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Recent advances of bat-inspired algorithm,its versions and applications |
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| Authors: | Alyasseri Zaid Abdi Alkareem Alomari Osama Ahmad Al-Betar Mohammed Azmi Makhadmeh Sharif Naser Doush Iyad Abu Awadallah Mohammed A. Abasi Ammar Kamal Elnagar Ashraf |
| Affiliation: | 1.ECE Department, Faculty of Engineering, University of Kufa, P.O. Box 21, Najaf, Iraq ;2.College of Engineering, University of Warith Al-Anbiyaa, Karbala, Iraq ;3.Information Research and Development Center (ITRDC), University of Kufa, Najaf, Iraq ;4.MLALP Research Group, University of Sharjah, Sharjah, United Arab Emirates ;5.Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates ;6.Department of Information Technology, Al-Huson University College, Al-Balqa Applied University, Irbid, Jordan ;7.Department of Computing, College of Engineering and Applied Sciences, American University of Kuwait, Salmiya, Kuwait ;8.Computer Science Department, Yarmouk University, Irbid, Jordan ;9.Department of Computer Science, Al-Aqsa University, P.O. Box 4051, Gaza, Palestine ;10.Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates ;11.Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates ;12.Department of Computer Science, University of Sharjah, Sharjah, United Arab Emirates ; |
| Abstract: | Neural Computing and Applications - Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in many problem domains. The ecosystem of bat animals inspires the main... |
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