A genetic algorithmic framework for process design and optimization

Journal article

Peer reviewed

I. P ANDROULAKIS and V VENKATASUBRAMANIAN

Computers & chemical engineering, Vol.15(4), pp.217-228

1991

Abstract

Applied sciences

Chemical engineering

Exact sciences and technology

Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization

8 Record Views

Title: A genetic algorithmic framework for process design and optimization
Creators: I. P ANDROULAKIS - Purdue univ., school chemical eng., lab. intelligent process systems, West Lafayette IN 47907, United States
V VENKATASUBRAMANIAN - Purdue univ., school chemical eng., lab. intelligent process systems, West Lafayette IN 47907, United States
Publication Details: Computers & chemical engineering, Vol.15(4), pp.217-228
Date published: 1991
Publisher: Elsevier
Academic Unit: New Brunswick Summer Session; Biomedical Engineering (SOE)
Language: English
Resource Type: Journal article
Identifiers: 991031654456304646