A generalized benders decomposition-based global optimization approach to symbolic regression for explicit surrogate modeling from limited data information-Reference-Cited by-同舟云学术

A generalized benders decomposition-based global optimization approach to symbolic regression for explicit surrogate modeling from limited data information

Published:2020-11 Issue: Volume:142 Page:107051
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Wei Jiawen,Yuan Zhihong

Funder

National Nature Science Foundation of China

State Key Laboratory of Chemical Engineering

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

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