| 2026 | GECCO | DynPORTAL: A Highly-configurable Benchmark Generator for Evolutionary Dynamic Optimization. | Mai Peng, Changhe Li, Danial Yazdani, Mengli Shan, Delaram Yazdani, Miqing Li, Shengxiang Yang |
| 2025 | CEC | Feasible Regions Identification based on Historical Solutions for Constrained Optimization Problems. | Mengli Shan, Changhe Li, Mai Peng, Xiaobo Liu, Michalis Mavrovouniotis, Shengxiang Yang |
| 2025 | CEC | Improved Genetic Algorithm Using Reinforcement Learning to Solve the Re-entrant Flexible Flow Shop Scheduling Problem. | Xinzhuo Wang, Chang Liu, Rui Wang, Zhenghao Yu, Shengxiang Yang |
| 2024 | GECCO | A Dynamic Preference-driven Evolutionary Algorithm for Solving Dynamic Multi-objective Problems. | Xueqing Wang, Jinhua Zheng, Juan Zou, Zhanglu Hou, Shengxiang Yang, Yuan Liu |
| 2024 | GECCO | Differential Evolution based on Local Grid Search for Multimodal Multiobjective Optimization with Local Pareto Fronts. | Juan Zou, Tianbin Xie, Qi Deng, Xiaozhong Yu, Shengxiang Yang, Jinhua Zheng |
| 2023 | CEC | A Subspace-Based Non-Dominated Subset Selection Method. | Qingshan Tan, Changhe Li, Sanyou Zeng, Shengxiang Yang |
| 2023 | CEC | A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective. | Yaqi Ti, Changhe Li, Shengxiang Yang |
| 2023 | GECCO | Nearest better network for visualization of the fitness landscape. | Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang |
| 2022 | CEC | Learning to Search Promising Regions by a Monte-Carlo Tree Model. | Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang |
| 2022 | ICTAI | Combining State Detection with Knowledge Transfer for Constrained Multi-objective Optimization. | Jinhua Zheng, Kaixi Yang, Juan Zou, Shengxiang Yang |
| 2021 | CEC | A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. | Qingshan Tan, Changhe Li, Hai Xia, Sanyou Zeng, Shengxiang Yang |
| 2021 | CEC | A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. | Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang |
| 2021 | ICIG | Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution. | Hui Yuan, Raouf Hamzaoui, Ferrante Neri, Shengxiang Yang |
| 2021 | IJCNN | Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. | Sal Caldern Ramrez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel Lpez-Rubio, Miguel A. Molina-Cabello |
| 2021 | MMSP | Global Rate-distortion Optimization of Video-based Point Cloud Compression with Differential Evolution. | Hui Yuan, Raouf Hamzaoui, Ferrante Neri, Shengxiang Yang, Tingting Wang |
| 2020 | CEC | An Experimental Study of Prediction Methods in Robust optimization Over Time. | Matthew Fox, Shengxiang Yang, Fabio Caraffini |
| 2020 | CEC | Evolutionary Approach to Multiparty Multiobjective Optimization Problems with Common Pareto Optimal Solutions. | Wenjie Liu, Wenjian Luo, Xin Lin, Miqing Li, Shengxiang Yang |
| 2020 | CEC | Particle Swarm Optimisation for Scheduling Electric Vehicles with Microgrids. | Zedong Zheng, Shengxiang Yang |
| 2020 | GECCO | An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme. | Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Shengxiang Yang |
| 2020 | ICPR | Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. | Sal Caldern Ramrez, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni, Mario Umaa, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello |
| 2020 | IJCNN | A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. | Ariana Bermudez, Sal Caldern Ramrez, Trevor Thang, Pascal N. Tyrrell, Armaghan Moemeni, Shengxiang Yang, Jordina Torrents-Barrena |
| 2019 | CEC | Memory-based multi-population genetic learning for dynamic shortest path problems. | Yiya Diao, Changhe Li, Sanyou Zeng, Michalis Mavrovouniotis, Shengxiang Yang |
| 2019 | CEC | A Two-layer Optimization Management Method for the Microgrid with Electric Vehicles. | Zedong Zheng, Shengxiang Yang |
| 2018 | CEC | An Empirical Study of Dynamic Triobjective Optimisation Problems. | Shouyong Jiang, Marcus Kaiser, Shuzhen Wan, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor |
| 2018 | CEC | A Loosely Coupled Hybrid Meta-Heuristic Algorithm for the Static Independent Task Scheduling Problem in Grid Computing. | Muhanad Tahrir Younis, Shengxiang Yang, Benjamin N. Passow |
| 2018 | GECCO | Less detectable environmental changes in dynamic multiobjective optimisation. | Shouyong Jiang, Marcus Kaiser, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor |
| 2017 | CEC | Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters. | Conor Fahy, Shengxiang Yang, Mario Gongora |
| 2016 | CEC | An adaptive penalty-based boundary intersection approach for multiobjective evolutionary algorithm based on decomposition. | Jinglei Guo, Shengxiang Yang, Shouyong Jiang |
| 2016 | CEC | Differential evolution with a two-stage optimization mechanism for numerical optimization. | Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Zixing Cai |
| 2016 | CEC | A comparative study of constraint-handling techniques in evolutionary constrained multiobjective optimization. | Jia-Peng Li, Yong Wang, Shengxiang Yang, Zixing Cai |
| 2016 | CEC | Empirical study on the effect of population size on MAX-MIN ant system in dynamic environments. | Michalis Mavrovouniotis, Shengxiang Yang |
| 2016 | PPSN | Convergence Versus Diversity in Multiobjective Optimization. | Shouyong Jiang, Shengxiang Yang |
| 2016 | PPSN | Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization. | Renato Tins, Shengxiang Yang |
| 2015 | CEC | An adaptive local search algorithm for real-valued dynamic optimization. | Michalis Mavrovouniotis, Ferrante Neri, Shengxiang Yang |
| 2015 | GECCO | A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective Optimization. | Miqing Li, Shengxiang Yang, Xiaohui Liu |
| 2015 | GECCO | An Ant Colony Optimization Based Memetic Algorithm for the Dynamic Travelling Salesman Problem. | Michalis Mavrovouniotis, Felipe Martins Mller, Shengxiang Yang |
| 2015 | GECCO | Evolutionary Computation for Dynamic Optimization Problems. | Shengxiang Yang |
| 2015 | UIC | Towards Knowledge Driven Decision Support for Personalized Home-Based Self-Management of Chronic Diseases. | Jun Qi, Liming Chen, Wolfgang Leister, Shengxiang Yang |
| 2014 | CEC | An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation. | Shouyong Jiang, Shengxiang Yang |
| 2014 | CEC | A test problem for visual investigation of high-dimensional multi-objective search. | Miqing Li, Shengxiang Yang, Xiaohui Liu |
| 2014 | CEC | Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments. | Michalis Mavrovouniotis, Shengxiang Yang |
| 2014 | CEC | Elitism-based immigrants for ant colony optimization in dynamic environments: Adapting the replacement rate. | Michalis Mavrovouniotis, Shengxiang Yang |
| 2013 | CEC | Genetic algorithms with adaptive immigrants for dynamic environments. | Michalis Mavrovouniotis, Shengxiang Yang |
| 2013 | EMO | A Comparative Study on Evolutionary Algorithms for Many-Objective Optimization. | Miqing Li, Shengxiang Yang, Xiaohui Liu, Ruimin Shen |
| 2013 | EMO | IPESA-II: Improved Pareto Envelope-Based Selection Algorithm II. | Miqing Li, Shengxiang Yang, Xiaohui Liu, Kang Wang |
| 2013 | GECCO | Evolutionary computation for dynamic optimization problems. | Shengxiang Yang |
| 2012 | CEC | Maintaining diversity by clustering in dynamic environments. | Changhe Li, Shengxiang Yang, Ming Yang |
| 2012 | CEC | Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem. | Michalis Mavrovouniotis, Shengxiang Yang |
| 2012 | PPSN | A Benchmark Generator for Dynamic Permutation-Encoded Problems. | Michalis Mavrovouniotis, Shengxiang Yang, Xin Yao |
| 2012 | PPSN | A Hybrid Approach to Piecewise Modelling of Biochemical Systems. | Zujian Wu, Shengxiang Yang, David R. Gilbert |
| 2012 | TrustCom | Hyper-mutation Based Genetic Algorithms for Dynamic Multicast Routing Problem in Mobile Ad Hoc Networks. | Hui Cheng, Shengxiang Yang |
| 2011 | HIS | A hybrid evolutionary multiobjective approach for the dynamic component selection problem. | Andreea Vescan, Crina Grosan, Shengxiang Yang |
| 2010 | CEC | A hybrid genetic algorithm and inver over approach for the travelling salesman problem. | Shakeel Arshad, Shengxiang Yang |
| 2010 | CEC | Adaptive learning particle swarm optimizer-II for global optimization. | Changhe Li, Shengxiang Yang |
| 2010 | PPSN | Ant Colony Optimization with Immigrants Schemes in Dynamic Environments. | Michalis Mavrovouniotis, Shengxiang Yang |
| 2010 | PPSN | An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System. | Renato Tins, Shengxiang Yang |
| 2009 | CEC | Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networks. | Hui Cheng, Shengxiang Yang |
| 2009 | CEC | An adaptive learning particle swarm optimizer for function optimization. | Changhe Li, Shengxiang Yang |
| 2009 | CEC | A clustering particle swarm optimizer for dynamic optimization. | Changhe Li, Shengxiang Yang |
| 2009 | CEC | Hyper-learning for population-based incremental learning in dynamic environments. | Shengxiang Yang, Hendrik Richter |
| 2009 | ICNC | Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Tabu Search. | Hui Cheng, Shengxiang Yang |
| 2008 | CEC | Evolutionary programming with q-Gaussian mutation for dynamic optimization problems. | Renato Tins, Shengxiang Yang |
| 2008 | CEC | Hyper-selection in dynamic environments. | Shengxiang Yang, Renato Tins |
| 2008 | CEC | A multi-agent based evolutionary algorithm in non-stationary environments. | Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang Yang, Dazhi Wang |
| 2008 | ICNC | Fast Multi-Swarm Optimization for Dynamic Optimization Problems. | Changhe Li, Shengxiang Yang |
| 2008 | ICNC | Learning in Abstract Memory Schemes for Dynamic Optimization. | Hendrik Richter, Shengxiang Yang |
| 2008 | ICTAI | A Memetic Algorithm for the University Course Timetabling Problem. | Sadaf Naseem Jat, Shengxiang Yang |
| 2008 | PPSN | Particle Filter with Swarm Move for Optimization. | Chunlin Ji, Yangyang Zhang, Mengmeng Tong, Shengxiang Yang |
| 2007 | CEC | Self-adaptation of mutation distribution in evolutionary algorithms. | Renato Tins, Shengxiang Yang |
| 2007 | CEC | Continuous dynamic problem generators for evolutionary algorithms. | Renato Tins, Shengxiang Yang |
| 2006 | CEC | On the Design of Diploid Genetic Algorithms for Problem Optimization in Dynamic Environments. | Shengxiang Yang |
| 2006 | GECCO | Dominance learning in diploid genetic algorithms for dynamic optimization problems. | Shengxiang Yang |
| 2006 | GECCO | A comparative study of immune system based genetic algorithms in dynamic environments. | Shengxiang Yang |
| 2006 | IJCNN | Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach. | Shengxiang Yang |
| 2006 | SAC | Adaptive mutation with fitness and allele distribution correlation for genetic algorithms. | Shengxiang Yang, Sima Uyar |
| 2005 | CEC | Genetic algorithms with self-organized criticality for dynamic optimization problems. | Renato Tins, Shengxiang Yang |
| 2005 | CEC | Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems. | Shengxiang Yang |
| 2005 | GECCO | Population-based incremental learning with memory scheme for changing environments. | Shengxiang Yang |
| 2005 | GECCO | Memory-based immigrants for genetic algorithms in dynamic environments. | Shengxiang Yang |
| 2005 | GECCO | Evolutionary algorithms for dynamic optimization problems: workshop preface. | Shengxiang Yang, Jrgen Branke |
| 2005 | SMC | An Improved Adaptive Neural Network for Job-Shop Scheduling. | Shengxiang Yang |
| 2004 | CEC | Constructing dynamic test environments for genetic algorithms based on problem difficulty. | Shengxiang Yang |
| 2003 | CEC | Non-stationary problem optimization using the primal-dual genetic algorithm. | Shengxiang Yang |
| 2003 | GECCO | Statistics-Based Adaptive Non-uniform Mutation for Genetic Algorithms. | Shengxiang Yang |
| 2003 | HIS | PDGA: the Primal-Dual Genetic Algorithm. | Shengxiang Yang |
| 2003 | SGAI | Adaptive Mutation Using Statistics Mechanism for Genetic Algorithms. | Shengxiang Yang |
| 2002 | GECCO | Adaptive Non-uniform Crossover Based On Statistics For Genetic Algorithms. | Shengxiang Yang |
| 2002 | GECCO | Adaptive Non-Uniform Mutation Based on Statistics for Genetic Algorithms. | Shengxiang Yang |