Parallel Problem Solving from Nature - PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings

This book constitutes the refereed proceedings of the 14th International Conference on Parallel Problem Solving from Nature, PPSN 2016, held in Edinburgh, UK, in September 2016.The total of 93 revised full papers were carefully reviewed and selected from 224 submissions. The meeting began with four...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Handl, Julia, Hart, Emma, Lewis, Peter R, López-Ibáñez, Manuel, Ochoa, Gabriela, Paechter, Ben
Format: Buch
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume 9921
creator Handl, Julia
Hart, Emma
Lewis, Peter R
López-Ibáñez, Manuel
Ochoa, Gabriela
Paechter, Ben
description This book constitutes the refereed proceedings of the 14th International Conference on Parallel Problem Solving from Nature, PPSN 2016, held in Edinburgh, UK, in September 2016.The total of 93 revised full papers were carefully reviewed and selected from 224 submissions. The meeting began with four workshops which offered an ideal opportunity to explore specific topics in intelligent transportation Workshop, landscape-aware heuristic search, natural computing in scheduling and timetabling, and advances in multi-modal optimization. PPSN XIV also included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary computation; graph-based and cartesian genetic programming; theory of parallel evolutionary algorithms; promoting diversity in evolutionary optimization: why and how; evolutionary multi-objective optimization; intelligent systems for smart cities; advances on multi-modal optimization; evolutionary computation in cryptography; evolutionary robotics - a practical guide to experiment with real hardware; evolutionary algorithms and hyper-heuristics; a bridge between optimization over manifolds and evolutionary computation; implementing evolutionary algorithms in the cloud; the attainment function approach to performance evaluation in EMO; runtime analysis of evolutionary algorithms: basic introduction; meta-model assisted (evolutionary) optimization. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; differential evolution and swarm intelligence; dynamic, uncertain and constrained environments; genetic programming; multi-objective, many-objective and multi-level optimization; parallel algorithms and hardware issues; real-word applications and modeling; theory; diversity and landscape analysis. 
doi_str_mv 10.1007/978-3-319-45823-6
format Book
fullrecord <record><control><sourceid>proquest_askew</sourceid><recordid>TN_cdi_askewsholts_vlebooks_9783319458236</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC6295066</sourcerecordid><originalsourceid>FETCH-LOGICAL-a29023-48fab2dbdb2b1189c20b7369dbe48318bd0d1a020f1c1e0c600304d6ca4d337e3</originalsourceid><addsrcrecordid>eNqNkU1PAjEQhutnROUHeNt4MR4qM23pbo9K8CMxSKIh3Jp2tyBaKG5B_76FNcajp8lMn3fyzltCzhCuECDvqLygnHJUVHQLxqncIcc8tdtuvEtaKBEp50Lt_X3YJy3gwKjKBT8kLZWGioscj0g7xjcAwJwBL7BFOkNTG--dz4Z1sN7Ns-fgP2eLaTapwzwbmNW6dhnNhsPnQTZ-GJ2Sg4nx0bV_6gkZ3fZfevf08enuoXf9SA1TkIyKYmIsq2xlmUUsVMnA5lyqyjpRcCxsBRUaYDDBEh2UEpJhUcnSiIrz3PETctksNvHdfcXX4FdRf3pnQ3iPOuXye61MbKdh47JO1l2tGwpBb1Lc0JrrxOutQG8UF41iWYePtYsrvV1cusUqxaH7Nz3JVBfkf8iuRBA5JPK8IUsTjZ8tZnoeFmFam-Vr1F2BBaTf-AZwe4Eo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC5610470</pqid></control><display><type>book</type><title>Parallel Problem Solving from Nature - PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings</title><source>Springer Books</source><creator>Handl, Julia ; Hart, Emma ; Lewis, Peter R ; López-Ibáñez, Manuel ; Ochoa, Gabriela ; Paechter, Ben</creator><contributor>Handl, Julia ; Lewis, Peter R ; L'pez-Ib''ez, Manuel ; Hart, Emma ; Paechter, Ben ; Lewis, Peter R. ; Ochoa, Gabriela ; Hart, Emma ; Handl, Julia ; López-Ibáñez, Manuel</contributor><creatorcontrib>Handl, Julia ; Hart, Emma ; Lewis, Peter R ; López-Ibáñez, Manuel ; Ochoa, Gabriela ; Paechter, Ben ; Handl, Julia ; Lewis, Peter R ; L'pez-Ib''ez, Manuel ; Hart, Emma ; Paechter, Ben ; Lewis, Peter R. ; Ochoa, Gabriela ; Hart, Emma ; Handl, Julia ; López-Ibáñez, Manuel</creatorcontrib><description>This book constitutes the refereed proceedings of the 14th International Conference on Parallel Problem Solving from Nature, PPSN 2016, held in Edinburgh, UK, in September 2016.The total of 93 revised full papers were carefully reviewed and selected from 224 submissions. The meeting began with four workshops which offered an ideal opportunity to explore specific topics in intelligent transportation Workshop, landscape-aware heuristic search, natural computing in scheduling and timetabling, and advances in multi-modal optimization. PPSN XIV also included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary computation; graph-based and cartesian genetic programming; theory of parallel evolutionary algorithms; promoting diversity in evolutionary optimization: why and how; evolutionary multi-objective optimization; intelligent systems for smart cities; advances on multi-modal optimization; evolutionary computation in cryptography; evolutionary robotics - a practical guide to experiment with real hardware; evolutionary algorithms and hyper-heuristics; a bridge between optimization over manifolds and evolutionary computation; implementing evolutionary algorithms in the cloud; the attainment function approach to performance evaluation in EMO; runtime analysis of evolutionary algorithms: basic introduction; meta-model assisted (evolutionary) optimization. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; differential evolution and swarm intelligence; dynamic, uncertain and constrained environments; genetic programming; multi-objective, many-objective and multi-level optimization; parallel algorithms and hardware issues; real-word applications and modeling; theory; diversity and landscape analysis. </description><edition>1st Edition 2016</edition><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 331945823X</identifier><identifier>ISBN: 9783319458236</identifier><identifier>ISBN: 3319458221</identifier><identifier>ISBN: 9783319458229</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 331945823X</identifier><identifier>EISBN: 9783319458236</identifier><identifier>DOI: 10.1007/978-3-319-45823-6</identifier><identifier>OCLC: 958293471</identifier><language>eng</language><publisher>Cham: Springer Nature</publisher><subject>Algorithm Analysis and Problem Complexity ; Artificial Intelligence ; Bioinformatics ; Computation by Abstract Devices ; Computational Biology/Bioinformatics ; Computer Science ; Discrete Mathematics in Computer Science ; Pattern Recognition ; Special computer methods</subject><creationdate>2016</creationdate><tpages>1033</tpages><format>1033</format><rights>Springer International Publishing AG 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://media.springernature.com/w306/springer-static/cover-hires/book/978-3-319-45823-6</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/978-3-319-45823-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/978-3-319-45823-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>306,309,777,781,783,786,4036,27906,38236,41423,42492</link.rule.ids></links><search><contributor>Handl, Julia</contributor><contributor>Lewis, Peter R</contributor><contributor>L'pez-Ib''ez, Manuel</contributor><contributor>Hart, Emma</contributor><contributor>Paechter, Ben</contributor><contributor>Lewis, Peter R.</contributor><contributor>Ochoa, Gabriela</contributor><contributor>Hart, Emma</contributor><contributor>Handl, Julia</contributor><contributor>López-Ibáñez, Manuel</contributor><creatorcontrib>Handl, Julia</creatorcontrib><creatorcontrib>Hart, Emma</creatorcontrib><creatorcontrib>Lewis, Peter R</creatorcontrib><creatorcontrib>López-Ibáñez, Manuel</creatorcontrib><creatorcontrib>Ochoa, Gabriela</creatorcontrib><creatorcontrib>Paechter, Ben</creatorcontrib><title>Parallel Problem Solving from Nature - PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings</title><description>This book constitutes the refereed proceedings of the 14th International Conference on Parallel Problem Solving from Nature, PPSN 2016, held in Edinburgh, UK, in September 2016.The total of 93 revised full papers were carefully reviewed and selected from 224 submissions. The meeting began with four workshops which offered an ideal opportunity to explore specific topics in intelligent transportation Workshop, landscape-aware heuristic search, natural computing in scheduling and timetabling, and advances in multi-modal optimization. PPSN XIV also included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary computation; graph-based and cartesian genetic programming; theory of parallel evolutionary algorithms; promoting diversity in evolutionary optimization: why and how; evolutionary multi-objective optimization; intelligent systems for smart cities; advances on multi-modal optimization; evolutionary computation in cryptography; evolutionary robotics - a practical guide to experiment with real hardware; evolutionary algorithms and hyper-heuristics; a bridge between optimization over manifolds and evolutionary computation; implementing evolutionary algorithms in the cloud; the attainment function approach to performance evaluation in EMO; runtime analysis of evolutionary algorithms: basic introduction; meta-model assisted (evolutionary) optimization. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; differential evolution and swarm intelligence; dynamic, uncertain and constrained environments; genetic programming; multi-objective, many-objective and multi-level optimization; parallel algorithms and hardware issues; real-word applications and modeling; theory; diversity and landscape analysis. </description><subject>Algorithm Analysis and Problem Complexity</subject><subject>Artificial Intelligence</subject><subject>Bioinformatics</subject><subject>Computation by Abstract Devices</subject><subject>Computational Biology/Bioinformatics</subject><subject>Computer Science</subject><subject>Discrete Mathematics in Computer Science</subject><subject>Pattern Recognition</subject><subject>Special computer methods</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>331945823X</isbn><isbn>9783319458236</isbn><isbn>3319458221</isbn><isbn>9783319458229</isbn><isbn>331945823X</isbn><isbn>9783319458236</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2016</creationdate><recordtype>book</recordtype><sourceid>I4C</sourceid><recordid>eNqNkU1PAjEQhutnROUHeNt4MR4qM23pbo9K8CMxSKIh3Jp2tyBaKG5B_76FNcajp8lMn3fyzltCzhCuECDvqLygnHJUVHQLxqncIcc8tdtuvEtaKBEp50Lt_X3YJy3gwKjKBT8kLZWGioscj0g7xjcAwJwBL7BFOkNTG--dz4Z1sN7Ns-fgP2eLaTapwzwbmNW6dhnNhsPnQTZ-GJ2Sg4nx0bV_6gkZ3fZfevf08enuoXf9SA1TkIyKYmIsq2xlmUUsVMnA5lyqyjpRcCxsBRUaYDDBEh2UEpJhUcnSiIrz3PETctksNvHdfcXX4FdRf3pnQ3iPOuXye61MbKdh47JO1l2tGwpBb1Lc0JrrxOutQG8UF41iWYePtYsrvV1cusUqxaH7Nz3JVBfkf8iuRBA5JPK8IUsTjZ8tZnoeFmFam-Vr1F2BBaTf-AZwe4Eo</recordid><startdate>2016</startdate><enddate>2016</enddate><creator>Handl, Julia</creator><creator>Hart, Emma</creator><creator>Lewis, Peter R</creator><creator>López-Ibáñez, Manuel</creator><creator>Ochoa, Gabriela</creator><creator>Paechter, Ben</creator><general>Springer Nature</general><general>Springer International Publishing AG</general><general>Springer International Publishing</general><general>Springer</general><scope>I4C</scope></search><sort><creationdate>2016</creationdate><title>Parallel Problem Solving from Nature - PPSN XIV</title><author>Handl, Julia ; Hart, Emma ; Lewis, Peter R ; López-Ibáñez, Manuel ; Ochoa, Gabriela ; Paechter, Ben</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a29023-48fab2dbdb2b1189c20b7369dbe48318bd0d1a020f1c1e0c600304d6ca4d337e3</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Algorithm Analysis and Problem Complexity</topic><topic>Artificial Intelligence</topic><topic>Bioinformatics</topic><topic>Computation by Abstract Devices</topic><topic>Computational Biology/Bioinformatics</topic><topic>Computer Science</topic><topic>Discrete Mathematics in Computer Science</topic><topic>Pattern Recognition</topic><topic>Special computer methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Handl, Julia</creatorcontrib><creatorcontrib>Hart, Emma</creatorcontrib><creatorcontrib>Lewis, Peter R</creatorcontrib><creatorcontrib>López-Ibáñez, Manuel</creatorcontrib><creatorcontrib>Ochoa, Gabriela</creatorcontrib><creatorcontrib>Paechter, Ben</creatorcontrib><collection>Casalini Torrossa eBook Single Purchase</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Handl, Julia</au><au>Hart, Emma</au><au>Lewis, Peter R</au><au>López-Ibáñez, Manuel</au><au>Ochoa, Gabriela</au><au>Paechter, Ben</au><au>Handl, Julia</au><au>Lewis, Peter R</au><au>L'pez-Ib''ez, Manuel</au><au>Hart, Emma</au><au>Paechter, Ben</au><au>Lewis, Peter R.</au><au>Ochoa, Gabriela</au><au>Hart, Emma</au><au>Handl, Julia</au><au>López-Ibáñez, Manuel</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Parallel Problem Solving from Nature - PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2016</date><risdate>2016</risdate><volume>9921</volume><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>331945823X</isbn><isbn>9783319458236</isbn><isbn>3319458221</isbn><isbn>9783319458229</isbn><eisbn>331945823X</eisbn><eisbn>9783319458236</eisbn><abstract>This book constitutes the refereed proceedings of the 14th International Conference on Parallel Problem Solving from Nature, PPSN 2016, held in Edinburgh, UK, in September 2016.The total of 93 revised full papers were carefully reviewed and selected from 224 submissions. The meeting began with four workshops which offered an ideal opportunity to explore specific topics in intelligent transportation Workshop, landscape-aware heuristic search, natural computing in scheduling and timetabling, and advances in multi-modal optimization. PPSN XIV also included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary computation; graph-based and cartesian genetic programming; theory of parallel evolutionary algorithms; promoting diversity in evolutionary optimization: why and how; evolutionary multi-objective optimization; intelligent systems for smart cities; advances on multi-modal optimization; evolutionary computation in cryptography; evolutionary robotics - a practical guide to experiment with real hardware; evolutionary algorithms and hyper-heuristics; a bridge between optimization over manifolds and evolutionary computation; implementing evolutionary algorithms in the cloud; the attainment function approach to performance evaluation in EMO; runtime analysis of evolutionary algorithms: basic introduction; meta-model assisted (evolutionary) optimization. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; differential evolution and swarm intelligence; dynamic, uncertain and constrained environments; genetic programming; multi-objective, many-objective and multi-level optimization; parallel algorithms and hardware issues; real-word applications and modeling; theory; diversity and landscape analysis. </abstract><cop>Cham</cop><pub>Springer Nature</pub><doi>10.1007/978-3-319-45823-6</doi><oclcid>958293471</oclcid><tpages>1033</tpages><edition>1st Edition 2016</edition></addata></record>
fulltext fulltext
identifier ISSN: 0302-9743
ispartof
issn 0302-9743
1611-3349
language eng
recordid cdi_askewsholts_vlebooks_9783319458236
source Springer Books
subjects Algorithm Analysis and Problem Complexity
Artificial Intelligence
Bioinformatics
Computation by Abstract Devices
Computational Biology/Bioinformatics
Computer Science
Discrete Mathematics in Computer Science
Pattern Recognition
Special computer methods
title Parallel Problem Solving from Nature - PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T09%3A51%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_askew&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=Parallel%20Problem%20Solving%20from%20Nature%20-%20PPSN%20XIV:%2014th%20International%20Conference,%20Edinburgh,%20UK,%20September%2017-21,%202016,%20Proceedings&rft.au=Handl,%20Julia&rft.date=2016&rft.volume=9921&rft.issn=0302-9743&rft.eissn=1611-3349&rft.isbn=331945823X&rft.isbn_list=9783319458236&rft.isbn_list=3319458221&rft.isbn_list=9783319458229&rft_id=info:doi/10.1007/978-3-319-45823-6&rft_dat=%3Cproquest_askew%3EEBC6295066%3C/proquest_askew%3E%3Curl%3E%3C/url%3E&rft.eisbn=331945823X&rft.eisbn_list=9783319458236&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC5610470&rft_id=info:pmid/&rfr_iscdi=true