Work

Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning

Year: 2022

Type: article

Source: Engineering Applications of Artificial Intelligence

DOI: 10.1016/j.engappai.2022.105463

Authors: Sunghyun Cho, Minsu Kim, Jaewon Lee, Areum Han, Jonggeol Na, Il Moon

Institutions: Harvard University, Yonsei University, Korea Institute of Industrial Technology, Ewha Womans University

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: closed

OpenAlex ID: W4306654443

FWCI: 2.768

Cites: 65

Cited by: 26

Related to: 10