Using genetic algorithm (GA) and particle swarm optimization (PSO) methods for determination of interaction parameters in multicomponent systems of liquid–liquid equilibria-Reference-Cited by-同舟云学术

Using genetic algorithm (GA) and particle swarm optimization (PSO) methods for determination of interaction parameters in multicomponent systems of liquid–liquid equilibria

Published:2014-03 Issue: Volume:365 Page:141-145
ISSN:0378-3812
Container-title:Fluid Phase Equilibria
language:en
Short-container-title:Fluid Phase Equilibria

Author:

Asgarpour Khansary Milad^ORCID,Hallaji Sani Ahmad

Publisher

Elsevier BV

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy,General Chemical Engineering

Reference15 articles.

1. Closure equations in the estimation of binary interaction parameters;Ahmad;Korean Journal of Chemical Engineering,2003

2. Thermo-Kinetic Modeling of the Wet Phase Inversion Process for Polymeric Membranes Fabrication;Asgarpour Khansary,2014

3. A review of particle swarm optimization. Part I: Background and development;Banks;Natural Computing,2007

4. A brief historical review of particle swarm optimization (PSO);García-Gonzalo;Journal of Bioinformatics and Intelligent Control,2012

5. Note to Bruin–Prausnitz one-parameter and Palmer–Smith two-parameter local composition equation;Hala;Industrial and Engineering Chemistry, Process Design Devision,1972

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