Wei Zhang

Orcid: 0000-0002-5082-6834

Affiliations:
  • Northeastern University, College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China


According to our database1, Wei Zhang authored at least 13 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
A Block Storage Optimization Method for Blockchain-Enabled Industrial Internet of Things.
IEEE Trans. Ind. Informatics, August, 2025

A dual ensemble-surrogate assisted evolutionary algorithm with state information driven infill criterion for expensive many-objective optimization.
Swarm Evol. Comput., 2025

A knowledge driven two-stage co-evolutionary algorithm for constrained multi-objective optimization.
Expert Syst. Appl., 2025

A state information driven evolutionary algorithm considering dimension influences for many-objective optimization.
Appl. Soft Comput., 2025

2024
A dual distance dominance based evolutionary algorithm with selection-replacement operator for many-objective optimization.
Expert Syst. Appl., March, 2024

Evolutionary dynamic grouping based cooperative co-evolution algorithm for large-scale optimization.
Appl. Intell., March, 2024

A cascading elimination-based evolutionary algorithm with variable classification mutation for many-objective optimization.
Inf. Sci., 2024

A many-objective evolutionary algorithm under diversity-first selection based framework.
Expert Syst. Appl., 2024

A two-stage evolutionary algorithm assisted by multi-archives for constrained multi-objective optimization.
Appl. Soft Comput., 2024

A strengthened constrained-dominance based evolutionary algorithm for constrained many-objective optimization.
Appl. Soft Comput., 2024

2023
A resource allocation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization.
Soft Comput., December, 2023

A many-objective evolutionary algorithm based on novel fitness estimation and grouping layering.
Neural Comput. Appl., December, 2023

A decomposition-rotation dominance based evolutionary algorithm with reference point adaption for many-objective optimization.
Expert Syst. Appl., April, 2023


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