Enhanced comprehensive learning particle swarm optimization. - Xiang Yu 006; Xueqing Zhang (Appl. Math. Comput., 2014)

Adaptive firefly algorithm with alternative search. - Hui Wang 002; Wenjun Wang 001; Hui Sun 001; Jia Zhao 001; Xiang Yu 006; Li Lv; Huasheng Zhu (CEC, 2016)

A Hybrid Firefly Algorithm for Continuous Optimization Problems. - Wenjun Wang 001; Hui Wang 002; Hui Sun 001; Xiang Yu 006; Jia Zhao 001; Yun Wang; Yunhui Zhang; Jinyong Zheng; Yueping Lu; Qianya Chen; Chuanbo Han; Haoping Xie (ICCCS (2), 2016)

Artificial bee colony algorithm with improved special centre. - Hui Sun 001; Kun Wang; Jia Zhao 001; Xiang Yu 006 (Int. J. Comput. Sci. Math., 2016)

Opposition-Based Artificial Bee Colony Using Different Learning Models. - Jia Zhao 001; Xuefeng Fu; Li Lv; Runxiu Wu; Hui Wang 002; Xiang Yu 006; Tanghuai Fan (J. Inf. Hiding Multim. Signal Process., 2016)

Firefly algorithm with neighborhood attraction. - Hui Wang 002; Wenjun Wang 001; Xinyu Zhou 002; Hui Sun 001; Jia Zhao 001; Xiang Yu 006; Zhihua Cui (Inf. Sci., 2017)

Firefly algorithm with adaptive control parameters. - Hui Wang 002; Xinyu Zhou 002; Hui Sun 001; Xiang Yu 006; Jia Zhao 001; Hai Zhang; Laizhong Cui (Soft Comput., 2017)

Adaptive Multiswarm Comprehensive Learning Particle Swarm Optimization. - Xiang Yu 006; Claudio Estevez (Inf., 2018)

Dynamic Knowledge Update Using Three-Way Decisions in Dominance-Based Rough Sets Approach While the Object Set Varies. - Lei Wang 191; Min Li 020; Jun Ye; Xiang Yu 006; Ziqi Wang; Shaobo Deng (Int. J. Comput. Intell. Syst., 2019)

Decomposition-based multi-objective comprehensive learning particle swarm optimisation. - Xiang Yu 006; Hui Wang 002; Hui Sun 001 (Int. J. Comput. Sci. Eng., 2019)

Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit. - Xiang Yu 006; Yu Qiao; Qingpeng Li; Gang Xu; Chuanxiong Kang; Claudio Estevez; Chengzhi Deng; Shengqian Wang (Complex., 2020)

On convergence analysis of multi-objective particle swarm optimization algorithm. - Gang Xu; Kun Luo; Guoxiu Jing; Xiang Yu 006; Xiaojun Ruan; Jun Song (Eur. J. Oper. Res., 2020)

Enhanced Comprehensive Learning Particle Swarm Optimization with Dimensional Independent and Adaptive Parameters. - Xiang Yu 006; Yu Qiao (Comput. Intell. Neurosci., 2021)

Comparison of CLPSO, ECLPSO and ACLPSO on CEC2013 Multimodal Benchmark Functions. - Yi Zhang 123; Xiang Yu 006; Kaiwen Xu (BIC-TA (1), 2023)

ACLPSO with Dynamic Interval Scaling and Learning Probability Tradeoff Coefficients. - Yi Zhang 123; Xiang Yu 006; Kaiwen Xu (CyberC, 2023)

A novel hybrid gene selection for tumor identification by combining multifilter integration and a recursive flower pollination search algorithm. - Min Li 020; Lin Ke; Lei Wang 191; Shaobo Deng; Xiang Yu 006 (Knowl. Based Syst., 2023)

Improved swarm-optimization-based filter-wrapper gene selection from microarray data for gene expression tumor classification. - Lin Ke; Min Li 020; Lei Wang 191; Shaobo Deng; Jun Ye; Xiang Yu 006 (Pattern Anal. Appl., 2023)

MOSDNET: A multi-omics classification framework using simplified multi-view deep discriminant representation learning and dynamic edge GCN with multi-task learning. - Min Li 020; Zihao Chen; Shaobo Deng; Lei Wang 191; Xiang Yu 006 (Comput. Biol. Medicine, 2024)