Juan Li
Orcid: 0000-0002-4680-0404Affiliations:
- Beijing Institute of Technology, School of Automation, China
According to our database1,
Juan Li
authored at least 15 papers
between 2015 and 2025.
Collaborative distances:
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Bibliography
2025
SIGMA: An Agent-Based Modeling UAV Swarm Simulator for Swarm Intelligence Algorithms.
IEEE Trans Autom. Sci. Eng., 2025
2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2022
IEEE Trans. Cybern., 2022
2021
A Hybrid Decomposition-based Multi-objective Evolutionary Algorithm for the Multi-Point Dynamic Aggregation Problem.
CoRR, 2021
Solving bi-objective uncertain stochastic resource allocation problems by the CVaR-based risk measure and decomposition-based multi-objective evolutionary algorithms.
Ann. Oper. Res., 2021
2020
Noise-Tolerant Techniques for Decomposition-Based Multiobjective Evolutionary Algorithms.
IEEE Trans. Cybern., 2020
DMaOEA-<i>ε</i>C: Decomposition-based many-objective evolutionary algorithm with the <i>ε</i>-constraint framework.
Inf. Sci., 2020
WorldScientific, ISBN: 9789811219009, 2020
2019
The bi-objective critical node detection problem with minimum pairwise connectivity and cost: theory and algorithms.
Soft Comput., 2019
Optimizing multi-objective uncertain multi-stage weapon target assignment problems with the risk measure CVaR.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
2017
DMOEA-εC: Decomposition-Based Multiobjective Evolutionary Algorithm With the ε-Constraint Framework.
IEEE Trans. Evol. Comput., 2017
Efficient multi-objective evolutionary algorithms for solving the multi-stage weapon target assignment problem: A comparison study.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
A virtual-decision-maker library considering personalities and dynamically changing preference structures for interactive multiobjective optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Solving the uncertain multi-objective multi-stage weapon target assignment problem via MOEA/D-AWA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Solving multi-objective multi-stage weapon target assignment problem via adaptive NSGAII and adaptive MOEA/D: A comparison study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015