Optimization of process flowsheets through metaheuristic techniques

This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques. The proposed approach is general and shows how to implement links between different process simulators such as Asp...

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Main Author: Ponce-Ortega, José María,
Other Authors: Hernández-Pérez, Luis Germán,, SpringerLink (Online service)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, [2019]
Physical Description: 1 online resource (xvii, 110 pages) : illustrations (some color)
Subjects:
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100 1 |a Ponce-Ortega, José María,  |e author. 
245 1 0 |a Optimization of process flowsheets through metaheuristic techniques /  |c José María Ponce-Ortega, Luis Germán Hernández-Pérez. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2019] 
300 |a 1 online resource (xvii, 110 pages) :  |b illustrations (some color) 
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504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed July 31, 2018). 
520 |a This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques. The proposed approach is general and shows how to implement links between different process simulators such as Aspen Plus®, HYSIS®, Super Pro Designer® linked to a variety of metaheuristic techniques implemented in Matlab®, Excel®, C++, and others, eliminating the numerical complications through the optimization process. Furthermore, the proposed framework allows the use of thermodynamic, design and constitutive equations implemented in the process simulator to implement any process. Aimed at graduate and undergraduate students, it presents introductory chapters for process simulators and metaheuristic optimization techniques and provides several worked exercises as well as proposed exercises. In addition, accompanying tutorial videos clearly explaining the implemented methodologies are available online. Also, some Matlab® routines are included as electronic supporting material. 
505 0 |a Chapter 1- Introduction -- Chapter 2- Process simulators -- Chapter 3- Metaheuristic optimization programs -- Chapter 4- interlinking between process simulators and optimization programs -- Chapter 5- Performance evaluation -- Chapter 6- Optimization of industrial process 1 -- Chapter 7- Optimization of industrial process 2 -- Chapter 8- Bibliography -- Appendix. 
650 0 |a Chemical processes  |x Data processing. 
650 0 |a Chemical processes  |x Mathematics. 
650 0 |a Mathematical optimization. 
650 0 |a Metaheuristics. 
650 6 |a Procédés chimiques  |x Informatique. 
650 6 |a Procédés chimiques  |x Mathématiques. 
650 6 |a Optimisation mathématique. 
650 6 |a Métaheuristiques. 
650 7 |a Industrial chemistry.  |2 bicssc. 
650 7 |a Computer modelling & simulation.  |2 bicssc. 
650 7 |a Artificial intelligence.  |2 bicssc. 
650 7 |a Science  |x Chemistry  |x Industrial & Technical.  |2 bisacsh. 
650 7 |a Computers  |x Computer Simulation.  |2 bisacsh. 
650 7 |a Computers  |x Intelligence (AI) & Semantics.  |2 bisacsh. 
650 7 |a Chemical processes  |x Data processing.  |2 fast. 
650 7 |a Mathematical optimization.  |2 fast. 
650 7 |a Metaheuristics.  |2 fast. 
700 1 |a Hernández-Pérez, Luis Germán,  |e author. 
710 2 |a SpringerLink (Online service) 
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