Peng Wang

Orcid: 0000-0002-1328-5784

Affiliations:

Victoria University of Wellington, School of Engineering and Computer Science, New Zealand
Zhengzhou University. School of Electrical and Information Engineering, China (former)

According to our database¹, Peng Wang authored at least 14 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

An efficient evolutionary feature selection algorithm with divide-and-conquer strategy for classification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2026

2025

MSFFNet: A Multilevel Sparse Feature Fusion Network for Infrared Dim Small Target Detection.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

2024

Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Differential Evolution With Duplication Analysis for Feature Selection in Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., October, 2023

Feature clustering-Assisted feature selection with differential evolution.

[BibT_eX]

[DOI]

Pattern Recognit., August, 2023

Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution.

[BibT_eX]

[DOI]

Inf. Sci., May, 2023

Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., April, 2023

Multiobjective Differential Evolution for Feature Selection in Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2023

2022

Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers.

[BibT_eX]

[DOI]

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021

Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2021

A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2019

Multi-objective flow shop scheduling with limited buffers using hybrid self-adaptive differential evolution.

[BibT_eX]

[DOI]

Memetic Comput., 2019

2018

Multi-objective Brainstorm Optimization Algorithm for Sparse Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Peng Wang

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Bibliography

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