Solving the Distribution Center Location Problem Based on Multi-swarm Cooperative Particle Swarm Optimizer. - Xianghua Chu; Qiang Lu; Ben Niu 002; Teresa Wu (ICIC (1), 2012)

Accuracy vs. robustness: bi-criteria optimized ensemble of metamodels. - Can Cui 002; Teresa Wu; Mengqi Hu; Jeffery D. Weir; Xianghua Chu (WSC, 2014)

AHPS2: An optimizer using adaptive heterogeneous particle swarms. - Xianghua Chu; Mengqi Hu; Teresa Wu; Jeffery D. Weir; Qiang Lu (Inf. Sci., 2014)

A LC-MS integration approach in life science automation: Hardware integration and software integration. - Xianghua Chu; Heidi Fleischer; Thomas Roddelkopf; Norbert Stoll; Michael Klos; Kerstin Thurow (CASE, 2015)

Application of dual-arm robot in biomedical analysis: Sample preparation and transport. - Xianghua Chu; Heidi Fleischer; Norbert Stoll; Michael Klos; Kerstin Thurow (I2MTC, 2015)

An superior tracking artificial bee colony for global optimization problems. - Xianghua Chu; Guozheng Hu; Ben Niu 002; Li Li 004; Zhengrong Chu (CEC, 2016)

An Augmented Artificial Bee Colony with Hybrid Learning for Traveling Salesman Problem. - Guozheng Hu; Xianghua Chu; Ben Niu 002; Li Li 004; Dechang Lin; Yao Liu (ICIC (1), 2016)

Artificial Bee Colony Optimization for Yard Truck Scheduling and Storage Allocation Problem. - Fangfang Zhang 003; Li Li 004; Jing Liu 029; Xianghua Chu (ICIC (2), 2016)

Flexible robot platform for sample preparation automation with a user-friendly interface. - Xianghua Chu; Thomas Roddelkopf; Heidi Fleischer; Norbert Stoll; Michael Klos; Kerstin Thurow (ROBIO, 2016)

An Augmented Artificial Bee Colony with Hybrid Learning. - Guozheng Hu; Xianghua Chu; Ben Niu 002; Li Li 004; Yao Liu; Dechang Lin (ICSI (2), 2016)

Modified Brain Storm Optimization Algorithms Based on Topology Structures. - Li Li 004; Fangfang Zhang 003; Xianghua Chu; Ben Niu 002 (ICSI (2), 2016)

An orthogonal-design hybrid particle swarm optimiser with application to capacitated facility location problem. - Xianghua Chu; Ben Niu 002; Jing J. Liang; Qiang Lu (Int. J. Bio Inspired Comput., 2016)

Automation strategies for sample preparation in life science applications. - Xianghua Chu (2016)

A comprehensive survey of brain storm optimization algorithms. - Shi Cheng; Yifei Sun 004; Junfeng Chen; Quande Qin; Xianghua Chu; Xiujuan Lei; Yuhui Shi 001 (CEC, 2017)

Augmented Brain Storm Optimization with Mutation Strategies. - Xianghua Chu; Jiansheng Chen; Fulin Cai; Chen Chen 034; Ben Niu 002 (SEAL, 2017)

Recommending PSO Variants Using Meta-Learning Framework for Global Optimization. - Xianghua Chu; Fulin Cai; Jiansheng Chen; Li Li 004 (SEAL, 2017)

A comparison analysis of swarm intelligence algorithms for robot swarm learning. - Jiaqi Fan; Mengqi Hu; Xianghua Chu; Dong Yang (WSC, 2017)

Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization. - Quande Qin; Shi Cheng; Xianghua Chu; Xiujuan Lei; Yuhui Shi 001 (Appl. Soft Comput., 2017)

Integration of Electronic Pipettes into a Dual-arm Robotic System for Automated Analytical Measurement Processes Behaviors. - Heidi Fleischer; Daniel Baumann; Xianghua Chu; Thomas Roddelkopf; Michael Klos; Kerstin Thurow (CASE, 2018)

Efficient application of dual-arm robots in analytical measurements using motion frames. - Xianghua Chu; Michael Klos; Kerstin Thurow; Heidi Fleischer (I2MTC, 2018)

Application of a dual arm robot for automated sample preparation for cholesterol determination in biliary stent incrustations. - Shalaka Joshi; Xianghua Chu; Kinjal Ramani; Kerstin Thurow; Heidi Fleischer (I2MTC, 2018)

Adaptive brainstorm optimisation with multiple strategies. - Xianghua Chu; Jiansheng Chen; Fulin Cai; Li Li 004; Quande Qin (Memetic Comput., 2018)

Coevolutionary Structure-Redesigned-Based Bacterial Foraging Optimization. - Ben Niu 002; Jing Liu 029; Teresa Wu; Xianghua Chu; Zhengxu Wang; Yanmin Liu (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Analysis of Measurement Process Design for a Dual-Arm Robot Using Graphical User Interface. - Shalaka Joshi; Xianghua Chu; Heidi Fleischer; Thomas Roddelkopf; Michael Klos; Kerstin Thurow (I2MTC, 2019)

Worker assignment with learning-forgetting effect in cellular manufacturing system using adaptive memetic differential search algorithm. - Xianghua Chu; Da Gao; Shi Cheng; Lang Wu; Jiansheng Chen; Yuhui Shi 001; Quande Qin (Comput. Ind. Eng., 2019)

Adaptive recommendation model using meta-learning for population-based algorithms. - Xianghua Chu; Fulin Cai; Can Cui 002; Mengqi Hu; Li Li 004; Quande Qin (Inf. Sci., 2019)

An efficient auction mechanism for regional logistics synchronization. - Xianghua Chu; Su Xiu Xu; Fulin Cai; Jiansheng Chen; Quande Qin (J. Intell. Manuf., 2019)

Adaptive differential search algorithm with multi-strategies for global optimization problems. - Xianghua Chu; Da Gao; Jiansheng Chen; Jianshuang Cui; Can Cui 002; Su Xiu Xu; Quande Qin (Neural Comput. Appl., 2019)

A Binary Superior Tracking Artificial Bee Colony for Feature Selection. - Xianghua Chu; Shuxiang Li; Wenjia Mao; Wei Zhao; Linya Huang (NCAA, 2020)

An artificial bee colony algorithm with adaptive heterogeneous competition for global optimization problems. - Xianghua Chu; Fulin Cai; Da Gao; Li Li 004; Jianshuang Cui; Su Xiu Xu; Quande Qin (Appl. Soft Comput., 2020)

A Binary Superior Tracking Artificial Bee Colony with Dynamic Cauchy Mutation for Feature Selection. - Xianghua Chu; Shuxiang Li; Da Gao; Wei Zhao; Jianshuang Cui; Linya Huang (Complex., 2020)

A feature transfer enabled multi-task deep learning model on medical imaging. - Fei Gao 015; Hyunsoo Yoon; Teresa Wu; Xianghua Chu (Expert Syst. Appl., 2020)

Learning-interaction-diversification framework for swarm intelligence optimizers: a unified perspective. - Xianghua Chu; Teresa Wu; Jeffery D. Weir; Yuhui Shi 001; Ben Niu 002; Li Li 004 (Neural Comput. Appl., 2020)

Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis. - Fei Gao 015; Teresa Wu; Xianghua Chu; Hyunsoo Yoon; Yanzhe Xu; Bhavika Patel (IEEE J. Biomed. Health Informatics, 2020)

Meta-feature Extraction for Multi-objective Optimization Problems. - Xianghua Chu; Jiayun Wang; Shuxiang Li; Linya Huang; Qiu He; Guodan Bao; Wei Zhao (NCAA, 2021)

Data-Driven Recommendation Model with Meta-learning Autoencoder for Algorithm Selection. - Xianghua Chu; Yongsheng Pang; Jiayun Wang; Yuqiu Guo; Yuanju Qu; Yangpeng Wang (NCAA (1), 2022)

Empirical study on meta-feature characterization for multi-objective optimization problems. - Xianghua Chu; Jiayun Wang; Shuxiang Li; Yujuan Chai; Yuqiu Guo (Neural Comput. Appl., 2022)

A Stacked Autoencoder Based Meta-Learning Model for Global Optimization. - Yue Ma; Yongsheng Pang; Shuxiang Li; Yuanju Qu; Yangpeng Wang; Xianghua Chu (NCAA (1), 2023)

Two-stage coevolution method for deep CNN: A case study in smart manufacturing. - Yuanju Qu; Yue Ma; Xinguo Ming; Yangpeng Wang; Shenghui Cheng; Xianghua Chu (Appl. Soft Comput., 2023)

Multi-stakeholder's sustainable requirement analysis for smart manufacturing systems based on the stakeholder value network approach. - Yuanju Qu; Yangpeng Wang; Xinguo Ming; Xianghua Chu (Comput. Ind. Eng., 2023)

Accident risk tensor-specific covariant model for railway accident risk assessment and prediction. - Yangpeng Wang; Shuxiang Li; Kangkuen Lee; Hwayaw Tam; Yuanju Qu; Jingyin Huang; Xianghua Chu (Reliab. Eng. Syst. Saf., 2023)

Self-decision mechanisms of smart production systems based on improved uncertainty theory and user-CFA. - Yuanju Qu; Jiayun Wang; Bo Jiang; Shenghui Cheng; Yangpeng Wang; Peishan Wu; Xinguo Ming; Xianghua Chu (Comput. Ind. Eng., 2023)

A data-driven meta-learning recommendation model for multi-mode resource constrained project scheduling problem. - Xianghua Chu; Shuxiang Li; Fei Gao 015; Can Cui 002; Forest Pfeiffer; Jianshuang Cui (Comput. Oper. Res., 2023)

Data-Driven Recommendation Model Based on Meta-Learning for Non-Intrusive Load Monitoring. - Xianghua Chu; Yongsheng Pang; Yue Ma; Shuxiang Li; Yuanju Qu; Yangpeng Wang (IEEE Trans. Consumer Electron., 2024)

An offline-online learning framework combining meta-learning and reinforcement learning for evolutionary multi-objective optimization. - Shuxiang Li; Yongsheng Pang; Zhaorong Huang; Xianghua Chu (Swarm Evol. Comput., 2025)