Academic Journal
Chemical process optimization: Evaluation of effectiveness of open-source software Scilab in solve constrained nonlinear programming problems ; Optimización de procesos químicos: Evaluación da eficacia do software libre Scilab para solución de problemas de programación non lineal con restricciones ; Otimização de processos químicos industriais: Avaliação da eficácia do software livre Scilab na resolução de problemas de programação não-linear com restrições
العنوان: | Chemical process optimization: Evaluation of effectiveness of open-source software Scilab in solve constrained nonlinear programming problems ; Optimización de procesos químicos: Evaluación da eficacia do software libre Scilab para solución de problemas de programación non lineal con restricciones ; Otimização de processos químicos industriais: Avaliação da eficácia do software livre Scilab na resolução de problemas de programação não-linear com restrições |
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المؤلفون: | Silva, Bruno Klier, Kwong, Wu Hong, Cardoso, Anamaria de Oliveira |
المصدر: | Research, Society and Development; Vol. 10 No. 9; e39110917866 ; Research, Society and Development; Vol. 10 Núm. 9; e39110917866 ; Research, Society and Development; v. 10 n. 9; e39110917866 ; 2525-3409 |
بيانات النشر: | Research, Society and Development |
سنة النشر: | 2021 |
المجموعة: | Research, Society and Development (E-Journal) |
مصطلحات موضوعية: | IpOpt, Planta de Williams-Otto, Otimização, Fmincon, Scilab, Williams-Otto plants, Optimization, Optimización |
الوصف: | Solution of nonlinear optimization problems with equality and inequality constraints is a hard task and tend to be more complex when involves a large number of variables. Energy and control systems and chemical plants are represented by this type of problem. With technological and computational progress, its necessary use effective tools that can handle with characteristics of this type of systems, effectively solving optimization problem. In this work, we solve two classical problems of nonlinear optimization with constraints of chemical process in free software Scilab, using the function fmincon, in order to evaluate the performance of the algorithm for solving constrained nonlinear programming problems. Results are compared with optimal conditions obtained with Matlab. Free software shows a good performance, achieved effective results and finding points thata results in a increase of 16% in objective function to investiment return of Williams-Otto plant, showing itself an efficient alternative for the development of research and technology in this field. ; Resolver problemas de optimización no lineal con restricciones de igualdad y desigualdad es una tarea difícil y tiende a ser aún más difícil cuando involucra una gran cantidad de variables. Los sistemas de potencia, control y plantas industriales están representados por este tipo de problemas y con los avances tecnológicos y computacionales se necesitan herramientas útiles que puedan abordar las características de este tipo de sistemas, resolviendo eficazmente el problema de optimización. En esto trabajo, se resuelven dos problemas clásicos de optimización no lineal con restricciones de procesos químicos, utilizando el software libre Scilab, a través de una función fmincon disponible, con el fin de evaluar el desempeño del algoritmo para la resolución de problemas de programación no lineal. Los resultados obtenidos se compararon con las condiciones óptimas utilizando el software Matlab. El software libre presenta un buen desempeño en la resolución de los ... |
نوع الوثيقة: | article in journal/newspaper |
وصف الملف: | application/pdf |
اللغة: | Portuguese |
Relation: | https://rsdjournal.org/index.php/rsd/article/view/17866/16260; https://rsdjournal.org/index.php/rsd/article/view/17866 |
DOI: | 10.33448/rsd-v10i9.17866 |
الاتاحة: | https://rsdjournal.org/index.php/rsd/article/view/17866 https://doi.org/10.33448/rsd-v10i9.17866 |
Rights: | Copyright (c) 2021 Bruno Klier Silva; Wu Hong Kwong; Anamaria de Oliveira Cardoso ; https://creativecommons.org/licenses/by/4.0 |
رقم الانضمام: | edsbas.2C11D758 |
قاعدة البيانات: | BASE |
DOI: | 10.33448/rsd-v10i9.17866 |
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