Optimization of small scale liquefaction processes using genetic algorithm /
دراسة أمثلية وحدات الإسالة الصغيرة بإستخدام خوارزم التطور الجيني
Mohamed Ibrahim Abdelhamid Awad ; Supervised Mahmoud Abdelhakim Elrifai , Reem Sayed Ettouney , Ayat Ossama Ghallab
- Cairo : Mohamed Ibrahim Abdelhamid Awad , 2016
- 72 P. : charts , plans , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Chemical Engineering
A new optimization scheme based on communication between the Genetic Algorithm toolbox of Matlab and HYSYS process simulation software is suggested. The power of this newly developed scheme is illustrated by considering the optimization of alternative existing nitrogen based stranded gas liquefaction technologies. The studied genetic operators included population size, selection method, and cross over probability. It is found that the application of this scheme using the range of genetic operators studied led to the establishment of optimum values of the different operating variables in alternative cycles