Markov Chain-based Clustering Analysis of Customers and WebPages. - Changshou Deng; Pie Zheng; Yanling Yang; Bingyan Zhao (ICEB, 2004)

Hybrid-Coding Binary Differential Evolution Algorithm with Application to 0-1 Knapsack Problems. - Changshou Deng; Bingyan Zhao; An-Yuan Deng; Chang-Yong Liang (CSSE (1), 2008)

Novel Binary Differential Evolution Algorithm for Discrete Optimization. - Changshou Deng; Bingyan Zhao; Yanling Yang; An-Yuan Deng (ICNC (4), 2009)

Novel binary Differential Evolution without scale factor F. - Changshou Deng; Bingyan Zhao; Yanling Yang; Anyuan Deng (IWACI, 2010)

Differential Evolution with dual population for static Weapon-Target assignment problem. - Changshou Deng; Bingyan Zhao; An-Yuan Deng; Rixin Hu (ICNC, 2010)

Hybrid Differential Evolution for Knapsack Problem. - Changshou Deng; Bingyan Zhao; Yanling Yang; An-Yuan Deng (ICSI (1), 2010)

Novel Binary Encoding Differential Evolution Algorithm. - Changshou Deng; Bingyan Zhao; Yanling Yang; Hu Peng; Qiming Wei (ICSI (1), 2011)

Structure-Encoding Differential Evolution for Integer Programming. - Changshou Deng; Chang-Yong Liang; Bingyan Zhao; Yanling Yang; An-Yuan Deng (J. Softw., 2011)

Novel Binary Biogeography-Based Optimization Algorithm for the Knapsack Problem. - Bingyan Zhao; Changshou Deng; Yanling Yang; Hu Peng (ICSI (1), 2012)

Improved differential evolution with adaptive opposition strategy. - Huichao Liu; Zhijian Wu; Hui Wang 002; Shahryar Rahnamayan; Changshou Deng (IEEE Congress on Evolutionary Computation, 2014)

Rotation-Based Learning: A Novel Extension of Opposition-Based Learning. - Huichao Liu; Zhijian Wu; Huanzhe Li; Hui Wang 002; Shahryar Rahnamayan; Changshou Deng (PRICAI, 2014)

A Parallel Version of Differential Evolution Based on Resilient Distributed Datasets Model. - Changshou Deng; Xujie Tan; Xiaogang Dong; Yucheng Tan (BIC-TA, 2015)

Differential Evolution Algorithm Based on Classification and Cross-combination. - Zhong-Ping Zhang; Qian-Nan Jia; Changshou Deng (FSDM, 2015)

Differential Evolution with Novel Local Search Operation for Large Scale Optimization Problems. - Changshou Deng; Xiaogang Dong; Yanlin Yang; Yucheng Tan; Xujie Tan (ICSI (1), 2015)

An Enhanced Differential Evolution with Elite Chaotic Local Search. - Zhaolu Guo; Haixia Huang; Changshou Deng; Xuezhi Yue; Zhijian Wu (Comput. Intell. Neurosci., 2015)

An improved approach of particle swarm optimization and application in data clustering. - Dang Cong Tran; Zhijian Wu; Changshou Deng (Intell. Data Anal., 2015)

Enhanced social emotional optimisation algorithm with generalised opposition-based learning. - Zhaolu Guo; Xuezhi Yue; Kejun Zhang; Changshou Deng; Songhua Liu (Int. J. Comput. Sci. Math., 2015)

Enhancing artificial bee colony algorithm with generalised opposition-based learning. - Xinyu Zhou 002; Zhijian Wu; Changshou Deng; Hu Peng (Int. J. Comput. Sci. Math., 2015)

Dual of DE: a new scheme of differential evolution algorithm. - Changshou Deng; Yucheng Tan; Bingyan Zhao; Yanlin Yang; Yan Liu; Hu Peng (Int. J. Wirel. Mob. Comput., 2015)

Enhanced social emotional optimisation algorithm with elite multi-parent crossover. - Zhaolu Guo; Shenwen Wang; Xuezhi Yue; Baoyong Yin; Changshou Deng; Zhijian Wu (Int. J. Comput. Sci. Math., 2016)

Efficient key management for publish/subscribe system in cloud scenarios. - Zongmin Cui; Guangyong Gao; Caixue Zhou; Jing Yu 012; An-Yuan Deng; Changshou Deng (Int. J. High Perform. Comput. Netw., 2016)

SparkDE: 一种基于RDD云计算模型的并行差分进化算法 (SparkDE: A Parallel Version of Differential Evolution Based on Resilient Distributed Datasets Model in Cloud Computing). - Xujie Tan; Changshou Deng; Xiaogang Dong; Sihao Yuan; Zhijian Wu; Hu Peng (计算机科学, 2016)

Dynamic differential evolution with oppositional orthogonal crossover for large scale optimisation problems. - Xiaogang Dong; Changshou Deng; Yucheng Tan (Int. J. Comput. Sci. Math., 2017)

SparkCUDE: a spark-based differential evolution for large-scale global optimisation. - Hu Peng; Xujie Tan; Changshou Deng; Shunxu Peng (Int. J. High Perform. Syst. Archit., 2017)

Gaussian bare-bones cuckoo search algorithm. - Hu Peng; Changshou Deng; Hui Wang 002; Wenjun Wang 001; Xinyu Zhou 002; Zhijian Wu (GECCO (Companion), 2018)

Enhancing differential evolution with random neighbors based strategy. - Hu Peng; Zhaolu Guo; Changshou Deng; Zhijian Wu (J. Comput. Sci., 2018)

Enhanced Brain Storm Optimization with Role-playing Strategy. - Jianqiang Chen; Changshou Deng; Hu Peng; Yucheng Tan; Xinyu Zhou 002; Feng Wang (CEC, 2019)

A Spark-based Gaussian Bare-bones Cuckoo Search with dynamic parameter selection. - Zhihui He; Hu Peng; Changshou Deng; Yucheng Tan; Zhijian Wu; Shuangke Wu (CEC, 2019)

Brain Storm Optimization Algorithm based on Competition Mechanism. - Fenqiang Li; Hu Peng; Changshou Deng; Yi Zeng; Yucheng Tan; Wenjun Wang 001 (CEC, 2019)

Firefly Algorithm With Luciferase Inhibition Mechanism. - Hu Peng; Yichen He; Changshou Deng; Zhijian Wu (IEEE Access, 2019)

Inventory routing optimisation using differential evolution with feasibility checking and local search. - Hu Peng; Changshou Deng; Shunxu Peng (Int. J. Intell. Inf. Database Syst., 2019)

SPBSO: self-adaptive brain storm optimization algorithm with pbest guided step-size. - Hu Peng; Changshou Deng; Zhijian Wu (J. Intell. Fuzzy Syst., 2019)

Best neighbor-guided artificial bee colony algorithm for continuous optimization problems. - Hu Peng; Changshou Deng; Zhijian Wu (Soft Comput., 2019)

Multi-strategy brain storm optimization algorithm with dynamic parameters adjustment. - Jianan Liu; Hu Peng; Zhijian Wu; Jianqiang Chen; Changshou Deng (Appl. Intell., 2020)

Semi-parametric training of autoencoders with Gaussian kernel smoothed topology learning neural networks. - Zhiyang Xiang; Changshou Deng; Xueting Xiang; Mali Yu; Jing Xiong (Neural Comput. Appl., 2020)

Deep Learning with Enhanced Convergence and Its Application in MEC Task Offloading. - Zheng Wan; Xiaogang Dong; Changshou Deng (ICA3PP (2), 2021)

Variable Fragments Evolution in Differential Evolution. - Changshou Deng; Xiaogang Dong; Yucheng Tan; Hu Peng (ICSI (1), 2021)

Enhanced Differential Evolution Algorithm with Local Search Based on Hadamard Matrix. - Changshou Deng; Xiaogang Dong; Yucheng Tan; Hu Peng (Comput. Intell. Neurosci., 2021)

A Spark-based differential evolution with grouping topology model for large-scale global optimization. - Zhihui He; Hu Peng; Jianqiang Chen; Changshou Deng; Zhijian Wu (Clust. Comput., 2021)

Composite firefly algorithm for breast cancer recognition. - Hu Peng; Wenhua Zhu; Changshou Deng; Kun Yu; Zhijian Wu (Concurr. Comput. Pract. Exp., 2021)

Enhancing firefly algorithm with courtship learning. - Hu Peng; Wenhua Zhu; Changshou Deng; Zhijian Wu (Inf. Sci., 2021)

Surrogate-assisted firefly algorithm for breast cancer detection. - Wenhua Zhu; Hu Peng; Chaohui Leng; Changshou Deng; Zhijian Wu (J. Intell. Fuzzy Syst., 2021)

Multi-strategy co-evolutionary differential evolution for mixed-variable optimization. - Hu Peng; Yupeng Han; Changshou Deng; Jing Wang 110; Zhijian Wu (Knowl. Based Syst., 2021)

Multi-strategy serial cuckoo search algorithm for global optimization. - Hu Peng; Zhaogan Zeng; Changshou Deng; Zhijian Wu (Knowl. Based Syst., 2021)

Optimization of Wireless Power Transfer for Wireless-Powered Mobile Edge Computing. - Xiaogang Dong; Zheng Wan; Changshou Deng (ICCCN, 2022)

A multi-strategy particle swarm optimization framework based on deep reinforcement learning. - Leyong Hou; Debin Fan; Junjie Cheng; Honglian Wu; Hu Peng; Changshou Deng (ICACI, 2023)

Reference point reconstruction-based firefly algorithm for irregular multi-objective optimization. - Yichen He; Hu Peng; Changshou Deng; Xiwei Dong; Zhijian Wu; Zhaolu Guo (Appl. Intell., 2023)

Optimizing computation offloading under heterogeneous delay requirements for wireless powered mobile edge computing. - Zheng Wan; Xiaogang Dong; Changshou Deng (Wirel. Networks, 2023)

Correction to: Optimizing computation offloading under heterogeneous delay requirements for wireless powered mobile edge computing. - Zheng Wan; Xiaogang Dong; Changshou Deng (Wirel. Networks, 2023)

Gene expression programming with dual strategies and neighborhood search for symbolic regression problems. - Hu Peng; Lin Li; Changrong Mei; Changshou Deng; Xuezhi Yue; Zhijian Wu (Appl. Soft Comput., 2023)

Multi-strategy multi-objective differential evolutionary algorithm with reinforcement learning. - Yupeng Han; Hu Peng; Changrong Mei; Lianglin Cao; Changshou Deng; Hui Wang 002; Zhijian Wu (Knowl. Based Syst., 2023)

Robust Fractional Low-Order Multiple Window STFT for Infinite Variance Process Environment. - Haibin Wang; Changshou Deng; Junbo Long; Youxue Zhou (IET Signal Process., 2024)

A multimodal multi-objective differential evolution with series-parallel combination and dynamic neighbor strategy. - Hu Peng; Wenwen Xia; Zhongtian Luo; Changshou Deng; Hui Wang 002; Zhijian Wu (Inf. Sci., 2024)

Bilevel fairness strategy based computation efficiency maximization for NOMA-aided edge network. - Xiaogang Dong; Zheng Wan; Changshou Deng; Shenglu Zhao; Xiwei Dong (Phys. Commun., 2025)