Huachao Dong
Orcid: 0000-0002-2471-3545
According to our database1,
Huachao Dong
authored at least 33 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Sensors, January, 2024
Surrogate-assisted evolutionary algorithm with decomposition-based local learning for high-dimensional multi-objective optimization.
Expert Syst. Appl., 2024
A surrogate-assisted expensive constrained multi-objective global optimization algorithm and application.
Appl. Soft Comput., 2024
Cooperative defense of autonomous surface vessels with quantity disadvantage using behavior cloning and deep reinforcement learning.
Appl. Soft Comput., 2024
A data-driven co-evolutionary exploration algorithm for computationally expensive constrained multi-objective problems.
Appl. Soft Comput., 2024
Surrogate-Assisted Adaptive Knowledge Transfer for Expensive Multitasking Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
A dual surrogate assisted evolutionary algorithm based on parallel search for expensive multi/many-objective optimization.
Appl. Soft Comput., November, 2023
Multi-objective constrained black-box optimization algorithm based on feasible region localization and performance-improvement exploration.
Appl. Soft Comput., November, 2023
An inverse model-guided two-stage evolutionary algorithm for multi-objective optimization.
Expert Syst. Appl., September, 2023
A clustering-based surrogate-assisted evolutionary algorithm (CSMOEA) for expensive multi-objective optimization.
Soft Comput., August, 2023
Adv. Eng. Informatics, April, 2023
Expensive Many-Objective Optimization by Learning of the Strengthened Dominance Relation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Real-Time Mission-Motion Planner for Multi-UUVs Cooperative Work Using Tri-Level Programing.
IEEE Trans. Intell. Transp. Syst., 2022
A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization.
Swarm Evol. Comput., 2022
Surrogate-assisted hierarchical learning water cycle algorithm for high-dimensional expensive optimization.
Swarm Evol. Comput., 2022
A dynamic space reduction ant colony optimization for capacitated vehicle routing problem.
Soft Comput., 2022
A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization.
Knowl. Based Syst., 2022
Appl. Soft Comput., 2022
Multi/many-objective evolutionary algorithm assisted by radial basis function models for expensive optimization.
Appl. Soft Comput., 2022
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.
Knowl. Based Syst., 2021
Surrogate-guided multi-objective optimization (SGMOO) using an efficient online sampling strategy.
Knowl. Based Syst., 2021
Kriging-assisted teaching-learning-based optimization (KTLBO) to solve computationally expensive constrained problems.
Inf. Sci., 2021
Surrogate-assisted teaching-learning-based optimization for high-dimensional and computationally expensive problems.
Appl. Soft Comput., 2021
Appl. Soft Comput., 2021
2020
Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems.
Swarm Evol. Comput., 2020
Kriging-assisted Discrete Global Optimization (KDGO) for black-box problems with costly objective and constraints.
Appl. Soft Comput., 2020
2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Hybrid surrogate-based optimization using space reduction (HSOSR) for expensive black-box functions.
Appl. Soft Comput., 2018
Appl. Soft Comput., 2018
Multi-surrogate-based Differential Evolution with multi-start exploration (MDEME) for computationally expensive optimization.
Adv. Eng. Softw., 2018