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| Gai-Ge Wang |
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| Jiangsu Normal University, Xuzhou |
| Regular Member |
| Personal Web Site: |
| Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1210 |
| Short Biography |
| Gai-Ge Wang is an associate professor in Ocean University of China, China. His entire publications have been cited over 6500 times (Google Scholar). Nine and sixty-three papers are selected as Highly Cited Paper by Web of Science, and Scopus (till July 2020), respectively. One paper is selected as “Top Articles from Outstanding S&T Journals of China-F5000 Frontrunner”. The latest Google h-index and i10-index are 43 and 86, respectively. He is senior member of SAISE, SCIEI, a member of IEEE, IEEE CIS, ISMOST. He served as Editors-in-Chief of OAJRC Computer and Communications, Editorial Advisory Board Member of Communications in Computational and Applied Mathematics (CCAM), Associate Editor of IJCISIM, an Editorial Board Member of IJBIC, Karbala International Journal of Modern Science, and Journal of Artificial Intelligence and Systems. He served as Guest Editor for many journals including IJBIC, FGCS, Memetic Computing and Operational Research. His research interests are swarm intelligence, evolutionary computation, and big data optimization. |
| List of top 5 publications in the last 5 years |
Gai-Ge Wang, Lihong Guo, Amir H. Gandomi, Guo-Sheng Hao, Heqi Wang. Chaotic krill herd algorithm. Information Sciences, 2014, 274: 17-34. doi: 10.1016/j.ins.2014.02.123 (Top 1% Highly Cited Paper by Web of Science and Scopus) Gai-Ge Wang, Amir H. Gandomi, Xin-She Yang, Amir H. Alavi. A new hybrid method based on krill herd and cuckoo search for global optimization tasks. International Journal of Bio-Inspired Computation, 2016, 8(5): 286-299. doi: 10.1504/IJBIC.2016.10000414 Gai-Ge Wang, Amir H. Gandomi, Amir H. Alavi. An effective krill herd algorithm with migration operator in biogeography-based optimization. Applied Mathematical Modelling, 2014, 38(9-10): 2454-2462. doi: 10.1016/j.apm.2013.10.052 (Top 1% Highly Cited Paper by Scopus) Gai-Ge Wang, Amir H. Gandomi, Amir H. Alavi. Stud krill herd algorithm. Neurocomputing, 2014, 128: 363-370. doi: 10.1016/j.neucom.2013.08.031 (Top 1% Highly Cited Paper by Web of Science and Scopus)
Gai-Ge Wang, Suash Deb, Amir H. Gandomi, Amir H. Alavi. Opposition-based krill herd algorithm with Cauchy mutation and position clamping. Neurocomputing, 2016, 177: 147-157. doi: 10.1016/j.neucom.2015.11.018 |
| List of top 5 academic activities during the last 5 years |
1. Publications Co Chair of the 2016 4th International Symposium on Computational and Business Intelligence (ISCBI 2016), Olten, Switzerland, September 5-7, 2016. 2. Advisory Committee of International Conference on Computing and Communication Systems (I3CS’16), Shillong, Meghalaya, India, March 17-20, 2016. 3. Invited Speaker and Technical Committee Chair of 2017 IEEE International Conference on Big Data Analysis (ICBDA 2017), Beijing, China, March 10-12, 2017. 4. Technical Committee Chair of 2016 IEEE International Conference on Big Data Analysis (ICBDA 2016), Hangzhou, China, March 12-14, 2016. 5. Publications Chairs of the 2015 2nd Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2015), Hong Kong, November 23-24, 2015. |