Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе:
https://open.uns.ac.rs/handle/123456789/3443
Nаziv: | Multi-objective optimization of microfiltration of baker's yeast using genetic algorithm | Аutоri: | Lukić, Nataša Božin-Dakić, Marija Grahovac (Ranković), Jovana Dodić, Jelena Jokić, Aleksandar |
Dаtum izdаvаnjа: | 1-јан-2017 | Izdаvаč: | Novi Sad: Faculty of Technology, Novi Sad | Čаsоpis: | Acta Periodica Technologica | Sažetak: | This paper presents a multi-objective optimization model by applying genetic algorithm in order to search for optimal operating parameters of microfiltration of baker's yeast in the presence of static mixer as a turbulence promoter. The operating variables were the suspension concentration, transmembrane pressure, and feed flow rate. Two conflicting objective functions, maximizing the permeate flux and maximizing the reduction of energy consumption, were considered. This multi-objective optimization problem was solved by using the elitist non-dominated sorting genetic algorithm in the Matlab R2015b software. The Pareto fronts along with the process decision variables correspondding to the optimal solutions were obtained. It was found that lower suspension concentrations (2-4.5 g/L), feed flow rate in the range 109-127 L/h, and transmembrane pressure of 1 bar were the optimal process parameters which yielded maximum permeate flux (177-191 L/(m2h)) and maximum reduction of energy consumption (44-50%). Finally, the results were compared with the previously published results obtained by applying desirability function approach. Given that genetic algorithms have generated multiple solutions in a single optimization run, the study proved that genetic algorithms are preferable to classical optimization methods. | URI: | https://open.uns.ac.rs/handle/123456789/3443 | ISSN: | 14507188 | DOI: | 10.2298/APT1748211L |
Nаlаzi sе u kоlеkciјаmа: | TF Publikacije/Publications |
Prikаzаti cеlоkupаn zаpis stаvki
SCOPUSTM
Nаvоđеnjа
5
prоvеrеnо 10.05.2024.
Prеglеd/i stаnicа
23
Prоtеklа nеdеljа
1
1
Prоtеkli mеsеc
8
8
prоvеrеnо 10.05.2024.
Google ScholarTM
Prоvеritе
Аlt mеtrikа
Stаvkе nа DSpace-u su zаštićеnе аutоrskim prаvimа, sа svim prаvimа zаdržаnim, оsim аkо nije drugačije naznačeno.