Li Yan

Orcid: 0000-0002-0222-9998

Affiliations:

Zhongyuan University of Technology, School of Electronic and Information Engineering, Zhengzhou, China
Jilin University, Changchun, China (PhD 2016)

According to our database¹, Li Yan authored at least 19 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Dual-population collaborative prediction with reinforcement learning adjusting for dynamic multi-objective optimization.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2025

A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2025

UAV Path Planners in Complex Environments: A Multi-Dimensional Perturbation Based on Artificial Bee Colony.

[BibT_eX]

[DOI]

IEEE Access, 2025

2024

Pixel Importance-Based Transfer Adversarial Attack.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence, 2024

A Joint Prediction Strategy Based on Multiple Feature Points for Dynamic Multi-objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence, 2024

2023

Interindividual Correlation and Dimension-Based Dual Learning for Dynamic Multiobjective Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., December, 2023

ASMEvoNAS: Adaptive segmented multi-objective evolutionary network architecture search.

[BibT_eX]

[DOI]

Appl. Soft Comput., October, 2023

Manifold clustering-based prediction for dynamic multiobjective optimization.

[BibT_eX]

[DOI]

Swarm Evol. Comput., March, 2023

Differential Evolution Using Special Sorting for Multimodal Multi-objective Optimization with Local Pareto Sets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

2022

Brushless direct current motor design using a self-adaptive JAYA optimisation algorithm.

[BibT_eX]

[DOI]

Int. J. Bio Inspired Comput., 2022

A grid-guided particle swarm optimizer for multimodal multi-objective problems.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

2021

Differential evolution using improved crowding distance for multimodal multiobjective optimization.

[BibT_eX]

[DOI]

Caitong Yue

Ponnuthurai N. Suganthan

Swarm Evol. Comput., 2021

An improved brain storm optimisation algorithm for energy-efficient train operation problem.

[BibT_eX]

[DOI]

Ponnuthurai Nagaratnam Suganthan

Int. J. Bio Inspired Comput., 2021

2020

A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

Multi-Objective Particle Swarm Optimization Based on Gaussian Sampling.

[BibT_eX]

[DOI]

Guosen Li

Li Yan

Boyang Qu

IEEE Access, 2020

2019

Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance.

[BibT_eX]

[DOI]

Ponnuthurai Nagaratnam Suganthan

Sci. China Inf. Sci., 2019

A Niching Multi-objective Harmony Search Algorithm for Multimodal Multi-objective Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Modified JAYA Algorithm for Optimization in Brushless DC Wheel Motor.

[BibT_eX]

[DOI]

Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

UAV 3D Path Planning Based on Multi-Population Ensemble Differential Evolution.

[BibT_eX]

[DOI]

Sumarga Kumar Sah Tyagi

Lu Yang

Chao Feng

Hang Sun

Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

Li Yan

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