Work

A Two-Level Model Management-Based Surrogate-Assisted Evolutionary Algorithm for Medium-Scale Expensive Multiobjective Optimization

Year: 2025

Type: article

Source: IEEE Transactions on Systems Man and Cybernetics Systems

DOI: 10.1109/tsmc.2025.3604949

Authors: Yuanchao Liu, Jinliang Ding, Qian Li, Fei Li, Jianchang Liu

Institutions: Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Anhui University of Technology

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Higher Education Discipline Innovation Project, Fundamental Research Funds for the Central Universities

Awards: G130806943, G1915982421, G2311391187, G4224064212, G7012264057, G8392374744, G8701999650

OpenAlex ID: W4413979860

FWCI: 4.324

Cites: 65

Cited by: 9

Related to: 10