Loading…
Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this...
Saved in:
Published in: | Ingeniería e investigación 2015, Vol.35 (1), p.49-54 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c428t-cf4a632ac0d0b93ba0878f308875ae5e5c44556eb7b5d26d8f2232b59c4792223 |
---|---|
cites | |
container_end_page | 54 |
container_issue | 1 |
container_start_page | 49 |
container_title | Ingeniería e investigación |
container_volume | 35 |
creator | Leonardo Antonio Bermeo Varón Caicedo, Eduardo Clementi, Luis Vega, Jorge |
description | In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this reason the estimation procedure requires a Tikhonov regularization method. The inverse problem is solved through several PSO strategies. The evaluated PSOs are tested through three simulated examples corresponding to polysty-rene (PS) latexes with different PSDs, and two experimental examples obtained by simply mixing 2 PS standards. In general, the evalu-ation results of the PSOs are excellent; and particularly, the PSO with the Trelea's parameter set shows a better performance than other implemented PSOs. |
doi_str_mv | 10.15446/ing.investig.v35n1.45213 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_98f0b4c380fe463a8ca970a446fd368d</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><scielo_id>S0120_56092015000100009</scielo_id><doaj_id>oai_doaj_org_article_98f0b4c380fe463a8ca970a446fd368d</doaj_id><sourcerecordid>3670160691</sourcerecordid><originalsourceid>FETCH-LOGICAL-c428t-cf4a632ac0d0b93ba0878f308875ae5e5c44556eb7b5d26d8f2232b59c4792223</originalsourceid><addsrcrecordid>eNpdkc1u1DAUhSMEEqO272DEhk3C9b-zRFWBSpVYFNaW4zgZV4k92E6r9iV4ZTydghAL61rWOcefzm2adxg6zBkTH32YOx_uXS5-7u4pD7hjnGD6qtkRwlSrJKGvmx1gAi0X0L9tLnL2AzAhAUtgu-bXVfWupvgYUJxQ2Tt0MKl4uziU_ZNDo88l-WH7o7BxWaIfM5pSXNG6LcWbMFf1-BjM6i1a_LwvKFtTiksVEK3O5C251YWS0YMv-39-eDBpRfFQEfzTM8R582YyS3YXL_Os-fH56vvl1_bm25fry083rWVEldZOzAhKjIURhp4OBpRUEwWlJDeOO24Z41y4QQ58JGJUEyGUDLy3TPak3s-a61PuGM2dPqTaQXrU0Xj9_BDTrF8gda8mGJilCibHBDXKml6Cqf1PIxVqrFndKStb75ao7-KWQoXXt8fi9bF4ApgDAK4H-mr4cDIcUvy51e3p1WfrlsUEF7essaQAXChylL7_T_o3HQspsRJUCvob1fOjuA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1677186376</pqid></control><display><type>article</type><title>Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><creator>Leonardo Antonio Bermeo Varón ; Caicedo, Eduardo ; Clementi, Luis ; Vega, Jorge</creator><creatorcontrib>Leonardo Antonio Bermeo Varón ; Caicedo, Eduardo ; Clementi, Luis ; Vega, Jorge</creatorcontrib><description>In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this reason the estimation procedure requires a Tikhonov regularization method. The inverse problem is solved through several PSO strategies. The evaluated PSOs are tested through three simulated examples corresponding to polysty-rene (PS) latexes with different PSDs, and two experimental examples obtained by simply mixing 2 PS standards. In general, the evalu-ation results of the PSOs are excellent; and particularly, the PSO with the Trelea's parameter set shows a better performance than other implemented PSOs.</description><identifier>ISSN: 0120-5609</identifier><identifier>EISSN: 2248-8723</identifier><identifier>DOI: 10.15446/ing.investig.v35n1.45213</identifier><language>eng</language><publisher>Bogota: Universidad Nacional de Colombia</publisher><subject>Colloids ; Dynamic Light Scattering ; Dynamical systems ; ENGINEERING, MULTIDISCIPLINARY ; Estimating techniques ; Inverse Problem ; Inverse problems ; Light scattering ; Measurement techniques ; Nonlinear dynamics ; Optimization techniques ; Particle size ; Particle Size Distribution ; Particle Swarm Optimization ; Scattering ; Swarm Intelligence</subject><ispartof>Ingeniería e investigación, 2015, Vol.35 (1), p.49-54</ispartof><rights>Copyright Universidad Nacional de Colombia 2015</rights><rights>This work is licensed under a Creative Commons Attribution 4.0 International License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-cf4a632ac0d0b93ba0878f308875ae5e5c44556eb7b5d26d8f2232b59c4792223</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1677186376?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,4023,25752,27922,27923,27924,37011,37012,44589</link.rule.ids></links><search><creatorcontrib>Leonardo Antonio Bermeo Varón</creatorcontrib><creatorcontrib>Caicedo, Eduardo</creatorcontrib><creatorcontrib>Clementi, Luis</creatorcontrib><creatorcontrib>Vega, Jorge</creatorcontrib><title>Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization</title><title>Ingeniería e investigación</title><addtitle>Ing. Investig</addtitle><description>In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this reason the estimation procedure requires a Tikhonov regularization method. The inverse problem is solved through several PSO strategies. The evaluated PSOs are tested through three simulated examples corresponding to polysty-rene (PS) latexes with different PSDs, and two experimental examples obtained by simply mixing 2 PS standards. In general, the evalu-ation results of the PSOs are excellent; and particularly, the PSO with the Trelea's parameter set shows a better performance than other implemented PSOs.</description><subject>Colloids</subject><subject>Dynamic Light Scattering</subject><subject>Dynamical systems</subject><subject>ENGINEERING, MULTIDISCIPLINARY</subject><subject>Estimating techniques</subject><subject>Inverse Problem</subject><subject>Inverse problems</subject><subject>Light scattering</subject><subject>Measurement techniques</subject><subject>Nonlinear dynamics</subject><subject>Optimization techniques</subject><subject>Particle size</subject><subject>Particle Size Distribution</subject><subject>Particle Swarm Optimization</subject><subject>Scattering</subject><subject>Swarm Intelligence</subject><issn>0120-5609</issn><issn>2248-8723</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkc1u1DAUhSMEEqO272DEhk3C9b-zRFWBSpVYFNaW4zgZV4k92E6r9iV4ZTydghAL61rWOcefzm2adxg6zBkTH32YOx_uXS5-7u4pD7hjnGD6qtkRwlSrJKGvmx1gAi0X0L9tLnL2AzAhAUtgu-bXVfWupvgYUJxQ2Tt0MKl4uziU_ZNDo88l-WH7o7BxWaIfM5pSXNG6LcWbMFf1-BjM6i1a_LwvKFtTiksVEK3O5C251YWS0YMv-39-eDBpRfFQEfzTM8R582YyS3YXL_Os-fH56vvl1_bm25fry083rWVEldZOzAhKjIURhp4OBpRUEwWlJDeOO24Z41y4QQ58JGJUEyGUDLy3TPak3s-a61PuGM2dPqTaQXrU0Xj9_BDTrF8gda8mGJilCibHBDXKml6Cqf1PIxVqrFndKStb75ao7-KWQoXXt8fi9bF4ApgDAK4H-mr4cDIcUvy51e3p1WfrlsUEF7essaQAXChylL7_T_o3HQspsRJUCvob1fOjuA</recordid><startdate>2015</startdate><enddate>2015</enddate><creator>Leonardo Antonio Bermeo Varón</creator><creator>Caicedo, Eduardo</creator><creator>Clementi, Luis</creator><creator>Vega, Jorge</creator><general>Universidad Nacional de Colombia</general><general>Facultad de Ingeniería, Universidad Nacional de Colombia</general><scope>3V.</scope><scope>7TB</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CLZPN</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>GPN</scope><scope>DOA</scope></search><sort><creationdate>2015</creationdate><title>Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization</title><author>Leonardo Antonio Bermeo Varón ; Caicedo, Eduardo ; Clementi, Luis ; Vega, Jorge</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c428t-cf4a632ac0d0b93ba0878f308875ae5e5c44556eb7b5d26d8f2232b59c4792223</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Colloids</topic><topic>Dynamic Light Scattering</topic><topic>Dynamical systems</topic><topic>ENGINEERING, MULTIDISCIPLINARY</topic><topic>Estimating techniques</topic><topic>Inverse Problem</topic><topic>Inverse problems</topic><topic>Light scattering</topic><topic>Measurement techniques</topic><topic>Nonlinear dynamics</topic><topic>Optimization techniques</topic><topic>Particle size</topic><topic>Particle Size Distribution</topic><topic>Particle Swarm Optimization</topic><topic>Scattering</topic><topic>Swarm Intelligence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leonardo Antonio Bermeo Varón</creatorcontrib><creatorcontrib>Caicedo, Eduardo</creatorcontrib><creatorcontrib>Clementi, Luis</creatorcontrib><creatorcontrib>Vega, Jorge</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Latin America & Iberia Database</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Research Library</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>SciELO</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Ingeniería e investigación</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Leonardo Antonio Bermeo Varón</au><au>Caicedo, Eduardo</au><au>Clementi, Luis</au><au>Vega, Jorge</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization</atitle><jtitle>Ingeniería e investigación</jtitle><addtitle>Ing. Investig</addtitle><date>2015</date><risdate>2015</risdate><volume>35</volume><issue>1</issue><spage>49</spage><epage>54</epage><pages>49-54</pages><issn>0120-5609</issn><eissn>2248-8723</eissn><abstract>In this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this reason the estimation procedure requires a Tikhonov regularization method. The inverse problem is solved through several PSO strategies. The evaluated PSOs are tested through three simulated examples corresponding to polysty-rene (PS) latexes with different PSDs, and two experimental examples obtained by simply mixing 2 PS standards. In general, the evalu-ation results of the PSOs are excellent; and particularly, the PSO with the Trelea's parameter set shows a better performance than other implemented PSOs.</abstract><cop>Bogota</cop><pub>Universidad Nacional de Colombia</pub><doi>10.15446/ing.investig.v35n1.45213</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0120-5609 |
ispartof | Ingeniería e investigación, 2015, Vol.35 (1), p.49-54 |
issn | 0120-5609 2248-8723 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_98f0b4c380fe463a8ca970a446fd368d |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3) |
subjects | Colloids Dynamic Light Scattering Dynamical systems ENGINEERING, MULTIDISCIPLINARY Estimating techniques Inverse Problem Inverse problems Light scattering Measurement techniques Nonlinear dynamics Optimization techniques Particle size Particle Size Distribution Particle Swarm Optimization Scattering Swarm Intelligence |
title | Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T14%3A40%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimation%20of%20the%20particle%20size%20distribution%20of%20colloids%20from%20multiangle%20dynamic%20light%20scattering%20measurements%20with%20particle%20swarm%20optimization&rft.jtitle=Ingenier%C3%ADa%20e%20investigaci%C3%B3n&rft.au=Leonardo%20Antonio%20Bermeo%20Var%C3%B3n&rft.date=2015&rft.volume=35&rft.issue=1&rft.spage=49&rft.epage=54&rft.pages=49-54&rft.issn=0120-5609&rft.eissn=2248-8723&rft_id=info:doi/10.15446/ing.investig.v35n1.45213&rft_dat=%3Cproquest_doaj_%3E3670160691%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c428t-cf4a632ac0d0b93ba0878f308875ae5e5c44556eb7b5d26d8f2232b59c4792223%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1677186376&rft_id=info:pmid/&rft_scielo_id=S0120_56092015000100009&rfr_iscdi=true |