Zi-Jia Wang

Orcid: 0000-0002-2594-0934

According to our database1, Zi-Jia Wang authored at least 28 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Bi-directional learning particle swarm optimization for large-scale optimization.
Appl. Soft Comput., December, 2024

A Decision-Making Model for Autonomous Vehicles at Intersections Based on Hierarchical Reinforcement Learning.
Unmanned Syst., July, 2024

Triple competitive differential evolution for global numerical optimization.
Swarm Evol. Comput., February, 2024

A new visually meaningful double-image encryption algorithm combining 2D compressive sensing with fractional-order chaotic system.
Multim. Tools Appl., January, 2024

Niche center identification differential evolution for multimodal optimization problems.
Inf. Sci., 2024

Two-stage heuristic algorithm with pseudo node-based model for electric vehicle routing problem.
Appl. Soft Comput., 2024

Wireless sensor networks-based adaptive differential evolution for multimodal optimization problems.
Appl. Soft Comput., 2024

2023
Fitness and Distance Based Local Search With Adaptive Differential Evolution for Multimodal Optimization Problems.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Superiority combination learning distributed particle swarm optimization for large-scale optimization.
Appl. Soft Comput., March, 2023

Gene Targeting Differential Evolution: A Simple and Efficient Method for Large-Scale Optimization.
IEEE Trans. Evol. Comput., 2023

A Dimension-Based Elite Learning Particle Swarm Optimizer for Large-Scale Optimization.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022
Adaptive Estimation Distribution Distributed Differential Evolution for Multimodal Optimization Problems.
IEEE Trans. Cybern., 2022

Decision-Making Models for Autonomous Vehicles at Unsignalized Intersections Based on Deep Reinforcement Learning.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
Adaptive Granularity Learning Distributed Particle Swarm Optimization for Large-Scale Optimization.
IEEE Trans. Cybern., 2021

Spatial-Temporal Graph Neural Network Framework with Multi-source Local and Global Information Fusion for Traffic Flow Forecasting.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020
Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems.
IEEE Trans. Evol. Comput., 2020

Adaptive Distributed Differential Evolution.
IEEE Trans. Cybern., 2020

Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling.
IEEE Trans. Cybern., 2020

2019
Distributed minimum spanning tree differential evolution for multimodal optimization problems.
Soft Comput., 2019

A Distributed Multiple Populations Framework for Evolutionary Algorithm in Solving Dynamic Optimization Problems.
IEEE Access, 2019

Intelligent Path Planning for AUVs in Dynamic Environments: An EDA-Based Learning Fixed Height Histogram Approach.
IEEE Access, 2019

2018
Dual-Strategy Differential Evolution With Affinity Propagation Clustering for Multimodal Optimization Problems.
IEEE Trans. Evol. Comput., 2018

Competitive Swarm Optimizer with Dynamic Grouping for Large Scale Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Experimental Study of Distributed Differential Evolution Based on Different Platforms.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

2016
Parallel multi-strategy evolutionary algorithm using massage passing interface for many-objective optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Adaptive radius species based particle swarm optimization for multimodal optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Orthogonal learning particle swarm optimization with variable relocation for dynamic optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
An Improved Method for Comprehensive Learning Particle Swarm Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015


  Loading...