Huachao Dong

Orcid: 0000-0002-2471-3545

According to our database¹, Huachao Dong authored at least 28 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Research on Multiple-AUVs Collaborative Detection and Surrounding Attack Simulation.

[BibT_eX]

[DOI]

Sensors, January, 2024

2023

A dual surrogate assisted evolutionary algorithm based on parallel search for expensive multi/many-objective optimization.

[BibT_eX]

[DOI]

Appl. Soft Comput., November, 2023

Multi-objective constrained black-box optimization algorithm based on feasible region localization and performance-improvement exploration.

[BibT_eX]

[DOI]

Appl. Soft Comput., November, 2023

An inverse model-guided two-stage evolutionary algorithm for multi-objective optimization.

[BibT_eX]

[DOI]

Expert Syst. Appl., September, 2023

A clustering-based surrogate-assisted evolutionary algorithm (CSMOEA) for expensive multi-objective optimization.

[BibT_eX]

[DOI]

Soft Comput., August, 2023

Surrogate-assisted global transfer optimization based on adaptive sampling strategy.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, April, 2023

Expensive Many-Objective Optimization by Learning of the Strengthened Dominance Relation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Real-Time Mission-Motion Planner for Multi-UUVs Cooperative Work Using Tri-Level Programing.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2022

Surrogate-assisted hierarchical learning water cycle algorithm for high-dimensional expensive optimization.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2022

A dynamic space reduction ant colony optimization for capacitated vehicle routing problem.

[BibT_eX]

[DOI]

Soft Comput., 2022

A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A multistage evolutionary algorithm for many-objective optimization.

[BibT_eX]

[DOI]

Inf. Sci., 2022

An adaptive bi-level task planning strategy for multi-USVs target visitation.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Multi/many-objective evolutionary algorithm assisted by radial basis function models for expensive optimization.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Blended-wing-body underwater glider shape transfer optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Multi-fidelity global optimization using a data-mining strategy for computationally intensive black-box problems.

[BibT_eX]

[DOI]

Jie Liu

Huachao Dong

Peng Wang

Knowl. Based Syst., 2021

Surrogate-guided multi-objective optimization (SGMOO) using an efficient online sampling strategy.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Kriging-assisted teaching-learning-based optimization (KTLBO) to solve computationally expensive constrained problems.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Surrogate-assisted teaching-learning-based optimization for high-dimensional and computationally expensive problems.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

SGOP: Surrogate-assisted global optimization using a Pareto-based sampling strategy.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

2020

Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems.

[BibT_eX]

[DOI]

Huachao Dong

Zuomin Dong

Swarm Evol. Comput., 2020

Kriging-assisted Discrete Global Optimization (KDGO) for black-box problems with costly objective and constraints.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

Hierarchical Learning Water Cycle Algorithm.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

2019

Enhanced Water Cycle Algorithm with Active Learning and Return Strategy.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Hybrid surrogate-based optimization using space reduction (HSOSR) for expensive black-box functions.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

SCGOSR: Surrogate-based constrained global optimization using space reduction.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

Multi-surrogate-based Differential Evolution with multi-start exploration (MDEME) for computationally expensive optimization.

[BibT_eX]

[DOI]

Adv. Eng. Softw., 2018

Huachao Dong

Timeline

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