English | 繁體

Search in the results

UM

Browse/Search Results:  1-4 of 4 Help

Selected(0)Clear Items/Page:    Sort:
White Learning: A White-Box Data Fusion Machine Learning Framework for Extreme and Fast Automated Cancer Diagnosis Journal article
Tengyue Li, Simon Fong, Lian-Sheng Liu, Xin-She Yang, Xingshi He, Jinan Fiaidhi, Sabah Mohammed. White Learning: A White-Box Data Fusion Machine Learning Framework for Extreme and Fast Automated Cancer Diagnosis[J]. IT Professional, 2019, 21(5), 71-77.
Authors:  Tengyue Li;  Simon Fong;  Lian-Sheng Liu;  Xin-She Yang;  Xingshi He; et al.
Favorite | TC[WOS]:5 TC[Scopus]:4  IF:2.2/2.5 | Submit date：2021/03/09
Swarm Intelligence: Today and Tomorrow Conference paper
Xin-She Yang, Suash Deb, Simon Fong, Yuxin Zhao, Xingshi He. Swarm Intelligence: Today and Tomorrow[C]:IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, 2017, 219-223.
Authors:  Xin-She Yang;  Suash Deb;  Simon Fong;  Yuxin Zhao;  Xingshi He
Favorite | TC[WOS]:3 TC[Scopus]:9 | Submit date：2019/02/13
Algorithm  Bat Algorithm  Complex Systems  Cuckoo Search  Firefly Algorithml Metaheuristic  Nature-inspired  Optimization  Pso  Self-organization  Swarm Intelligence  
Swarm intelligence: past, present and future Journal article
Xin-She Yang, Suash Deb, Yu-Xin Zhao, Simon Fong, Xingshi He. Swarm intelligence: past, present and future[J]. Soft Computing, 2017, 22(18), 5923-5933.
Authors:  Xin-She Yang;  Suash Deb;  Yu-Xin Zhao;  Simon Fong;  Xingshi He
Favorite | TC[WOS]:72 TC[Scopus]:94 | Submit date：2019/02/13
Swarm Intelligence  Nature-inspired Algorithms  Optimization  Self-organization  Bioinspired Computing  Metaheuristics  
From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms Journal article
Xin-She Yang, Suash Deb, Simon Fong, Xingshi He, Yu-Xin Zhao. From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms[J]. Computer, 2016, 49(9), 52-59.
Authors:  Xin-She Yang;  Suash Deb;  Simon Fong;  Xingshi He;  Yu-Xin Zhao
Favorite | TC[WOS]:53 TC[Scopus]:71  IF:2.0/2.6 | Submit date：2018/11/06