Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models
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| Main Author: | |
|---|---|
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2011
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| Subjects: | |
| Online Access: | https://www.intechopen.com/chapters/13880 |
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| _version_ | 1839561578756702208 |
|---|---|
| author | Irizarry, Roberto |
| author_facet | Irizarry, Roberto |
| author_sort | Irizarry, Roberto |
| collection | InTech Open eBooks |
| description | None |
| doi_str_mv | 10.5772/14951 |
| first_indexed | 2025-08-04T21:23:51Z |
| format | Electronic Book Chapter |
| fullrecord | <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>InTech-13880</identifier><datestamp>2011-02-28</datestamp>
<dc:title>Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models</dc:title>
<dc:creator>Roberto Irizarry</dc:creator>
<dc:subject>Physical Sciences, Engineering and Technology</dc:subject>
<dc:description>None</dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2011-02-28</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
<dc:identifier>https://www.intechopen.com/chapters/13880</dc:identifier>
<dc:identifier>doi:10.5772/14951</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>ISBN:978-953-307-829-8</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by-nc-sa/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/92 ; Stochastic Optimization - Seeing the Optimal for the Uncertain</dc:source>
</oai_dc:dc> |
| id | InTech-13880 |
| institution | Matheson Library |
| isbn | 978-953-307-829-8 |
| language | English |
| last_indexed | 2025-08-04T21:23:51Z |
| publishDate | 2011 |
| publisher | IntechOpen |
| record_format | intech |
| spelling | InTech-138802011-02-28 Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models Roberto Irizarry Physical Sciences, Engineering and Technology None IntechOpen 2011-02-28 Chapter, Part Of Book https://www.intechopen.com/chapters/13880 doi:10.5772/14951 en ISBN:978-953-307-829-8 https://creativecommons.org/licenses/by-nc-sa/3.0/ https://www.intechopen.com/books/92 ; Stochastic Optimization - Seeing the Optimal for the Uncertain |
| spellingShingle | Physical Sciences, Engineering and Technology Irizarry, Roberto Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models |
| title | Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models |
| title_full | Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models |
| title_fullStr | Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models |
| title_full_unstemmed | Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models |
| title_short | Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models |
| title_sort | global and dynamic optimization using the artificial chemical process paradigm and fast monte carlo methods for the solution of population balance models |
| topic | Physical Sciences, Engineering and Technology |
| url | https://www.intechopen.com/chapters/13880 |
| work_keys_str_mv | AT irizarryroberto globalanddynamicoptimizationusingtheartificialchemicalprocessparadigmandfastmontecarlomethodsforthesolutionofpopulationbalancemodels |