Work

Preference-Based Multi-Objective Optimization with Gaussian Process

Year: 2023

Type: conference-paper

Source: Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI: 10.1109/smc53992.2023.10394212

Authors: Tian Huang, Ke Li

Institutions: University of Electronic Science and Technology of China, University of Exeter

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: UK Research and Innovation, Royal Society, National Natural Science Foundation of China, Engineering and Physical Sciences Research Council

Awards: Leveraging Evolutionary Algorithms for Black-Box Adversarial Attacks in Robustness Evaluation of Deep Neural Networks, G2615012307, G330673731, G852174929

OpenAlex ID: W4391308146

FWCI:

Cites: 33

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Related to: 10