Zhenshou Song

Orcid: 0000-0003-3315-499X

According to our database1, Zhenshou Song authored at least 11 papers between 2018 and 2023.

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

Timeline

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Bibliography

2023
A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

2022
A framework for expensive many-objective optimization with Pareto-based bi-indicator infill sampling criterion.
Memetic Comput., 2022

2021
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2021

Pareto-Based Bi-indicator Infill Sampling Criterion for Expensive Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2019
An Improved Brain Storming Optimization Algorithm for Estimating Parameters of Photovoltaic Models.
IEEE Access, 2019

An Enhanced Brain Storm Sine Cosine Algorithm for Global Optimization Problems.
IEEE Access, 2019

Steady-State Brain Storm Optimization Using Double Roulette Selection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
A Simple Brain Storm Optimization Algorithm With a Periodic Quantum Learning Strategy.
IEEE Access, 2018

A Brain Storm Optimization With Multi-Information Interactions for Global Optimization Problems.
IEEE Access, 2018

A Double Evolutionary Learning Moth-Flame Optimization for Real-Parameter Global Optimization Problems.
IEEE Access, 2018

A Vector Grouping Learning Brain Storm Optimization Algorithm for Global Optimization Problems.
IEEE Access, 2018


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