Xiaoyu Chen

Orcid: 0000-0002-4588-8475

Affiliations:
  • China University of Geosciences, Wuhan, China
  • Heidelberg University, Heidelberg, Germany


According to our database1, Xiaoyu Chen authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Characteristic Area-Based Method for Continuous Coverage Analysis of Satellites Constellation.
IEEE Trans. Aerosp. Electron. Syst., October, 2023

Dynamical decomposition and selection based evolutionary algorithm for many-objective optimization.
Appl. Soft Comput., July, 2023

Synchronous Wireless Sensor and Sink Placement Method Using Dual-Population Co-evolutionary Constrained Multiobjective Optimization Algorithm.
IEEE Trans. Ind. Informatics, June, 2023

A dual-population based bidirectional coevolution algorithm for constrained multi-objective optimization problems.
Expert Syst. Appl., April, 2023

2022
A General Formal Method for Manifold Coverage Analysis of Satellite Constellations.
IEEE Trans. Aerosp. Electron. Syst., 2022

An archive-based two-stage evolutionary algorithm for constrained multi-objective optimization problems.
Swarm Evol. Comput., 2022

2020
Tile-based polygon overlay of vector data in a virtual globe.
Trans. GIS, 2020

2019
A mixed integer linear programming model for multi-satellite scheduling.
Eur. J. Oper. Res., 2019

2018
A Semi-Analytical Method for Periodic Earth Coverage Satellites Optimization.
IEEE Commun. Lett., 2018

Priority-based and conflict-avoidance heuristics for multi-satellite scheduling.
Appl. Soft Comput., 2018

A Novel Grid Point Approach for Efficiently Solving the Constellation-to-Ground Regional Coverage Problem.
IEEE Access, 2018

2016
Global optimisation of multiple gravity assist spacecraft trajectories based on search space exploring and PCA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Cooperative coevolution with dependency identification grouping for large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


  Loading...