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978-3-319-91722-1 |
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DE-He213 |
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20191022151448.0 |
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180719s2019 gw | s |||| 0|eng d |
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|a 9783319917221
|9 978-3-319-91722-1
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|a 10.1007/978-3-319-91722-1
|2 doi
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|a Ponce-Ortega, José María.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Optimization of Process Flowsheets through Metaheuristic Techniques
|h [electronic resource] /
|c by José María Ponce-Ortega, Luis Germán Hernández-Pérez.
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|a 1st ed. 2019.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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|a XVII, 110 p. 100 illus., 53 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|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.
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|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.
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|a Computational intelligence.
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| 650 |
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|a Chemical engineering.
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| 650 |
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|a Computer simulation.
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|a Computational Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/T11014
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| 650 |
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|a Industrial Chemistry/Chemical Engineering.
|0 http://scigraph.springernature.com/things/product-market-codes/C27000
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| 650 |
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|a Simulation and Modeling.
|0 http://scigraph.springernature.com/things/product-market-codes/I19000
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| 700 |
1 |
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|a Hernández-Pérez, Luis Germán.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783319917214
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| 776 |
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|i Printed edition:
|z 9783319917238
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| 776 |
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|i Printed edition:
|z 9783030062842
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| 856 |
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|u https://doi.org/10.1007/978-3-319-91722-1
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-INR
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| 950 |
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|a Intelligent Technologies and Robotics (Springer-42732)
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