Work

A computational methodology for learning low-complexity surrogate models of process from experiments or simulations. (Paper 679a)

Year: 2011

Type: article

Source: OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Authors: Alison Cozad, Nikolaos V. Sahinidis, Danny Miller

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W276676705

FWCI:

Cites:

Cited by:

Related to: 10