| 2024-04 | Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution | Jun Zhang |
| 2023-06 | Distributed and Expensive Evolutionary Constrained Optimization With On-Demand Evaluation | Jun Zhang |
| 2023-05-01 | Distributed Differential Evolution With Adaptive Resource Allocation | Jun Zhang |
| 2023-06-01 | Dual Differential Grouping: A More General Decomposition Method for Large-Scale Optimization | Jun Zhang |
| 2023-06 | An Efficient Federated Genetic Programming Framework for Symbolic Regression | Jun Zhang |
| 2023-10 | Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System | Jun Zhang |
| 2023-12 | Evolutionary dynamic database partitioning optimization for privacy and utility | Jun Zhang |
| 2023-02 | An Evolutionary Guardrail Layout Design Framework for Crowd Control in Subway Stations | Jun Zhang |
| 2023-12 | EvoS&R: Evolving Multiple Seeds and Radii For Varying Density Data Clustering | Jun Zhang |
| 2023-06 | Fitness and Distance Based Local Search With Adaptive Differential Evolution for Multimodal Optimization Problems | Jun Zhang |
| 2023-02-16 | Function value ranking aware differential evolution for global numerical optimization | Jun Zhang |
| 2023-04 | Graph-Based Deep Decomposition for Overlapping Large-Scale Optimization Problems | Jun Zhang |
| 2023-12 | Grid Classification-Based Surrogate-Assisted Particle Swarm Optimization for Expensive Multiobjective Optimization | Jun Zhang |
| 2023-07 | Heterogeneous cognitive learning particle swarm optimization for large-scale optimization problems | Jun Zhang |
| 2023-07 | Incremental particle swarm optimization for large-scale dynamic optimization with changing variable interactions | Jun Zhang |
| 2023-12 | An Individual Evolutionary Game Model Guided by Global Evolutionary Optimization for Vehicle Energy Station Distribution | Jun Zhang |
| 2023-12 | Interaction-based Prediction for Dynamic Multiobjective Optimization | Jun Zhang |
| 2023-12 | Knowledge Learning for Evolutionary Computation | Jun Zhang |
| 2023-12 | Large-Scale Parallel Cognitive Diagnostic Test Assembly Using A Dual-Stage Differential Evolution-Based Approach | Jun Zhang |
| 2023-12 | Learning-aided Evolution for Optimization | Jun Zhang |
| 2022-09 | Many-Objective Job-Shop Scheduling: A Multiple Populations for Multiple Objectives-Based Genetic Algorithm Approach | Jun Zhang |
| 2023-04 | MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles | Jun Zhang |
| 2022-02-22 | Multi-objective multi-criteria evolutionary algorithm for multi-objective multi-task optimization | Jun Zhang |
| 2024-04 | A Multiagent Co-Evolutionary Algorithm With Penalty-Based Objective for Network-Based Distributed Optimization | Jun Zhang |
| 2023-10 | Multiple Populations for Multiple Objectives Framework With Bias Sorting for Many-Objective Optimization | Jun Zhang |
| 2023-10 | Multiple Populations for Multiple Objectives Framework with Bias Sorting for Many-objective Optimization | Jun Zhang |
| 2023-12 | Multiple Tasks for Multiple Objectives: A New Multiobjective Optimization Method via Multitask Optimization | Jun Zhang |
| 2023-12 | Multiple Tasks for Multiple Objectives: A New Multiobjective Optimization Method via Multitask Optimization | Jun Zhang |
| 2023-04-01 | Optimizing Niche Center for Multimodal Optimization Problems | Jun Zhang |
| 2023-02 | Orthogonal Transfer for Multitask Optimization | Jun Zhang |
