Evolutionary Artificial Intelligence: Proceedings of ICEAI 2023
This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on Evolutionary Artificial Intelligence (ICEAI 2023) held in Malaysia during 13-14 September 2023. The focus of the book is interdisciplinary in nature an...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
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 | |
creator | Asirvatham, David Gonzalez-Longatt, Francisco M Falkowski-Gilski, Przemyslaw Kanthavel, R |
description | This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on Evolutionary Artificial Intelligence (ICEAI 2023) held in Malaysia during 13-14 September 2023. The focus of the book is interdisciplinary in nature and includes research on all aspects of evolutionary computation to find effective solutions to a wide range of computationally difficult problems. The book covers topics such as particle swarm optimization, evolutionary programming, genetic programming, hybrid evolutionary algorithms, ant colony optimization, evolutionary neural networks, evolutionary reinforcement learning, genetic algorithms, memetic algorithms, novel bio-inspired algorithms, evolving multi-agent systems, agent-based evolutionary approaches, and evolutionary game theory. |
format | Book |
fullrecord | <record><control><sourceid>proquest_askew</sourceid><recordid>TN_cdi_askewsholts_vlebooks_9789819984381</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC31212835</sourcerecordid><originalsourceid>FETCH-LOGICAL-a5187-8c22bde115fb6dfb20fee82ccf1fe8818eddf833a420ada1c713062ab98223bf3</originalsourceid><addsrcrecordid>eNpNz81KAzEUBeCIKNo679CFC10MzM3PzM2yDrUWCm50PSSZGx0aJjpJK769YhVcHQ58HDgnbKYRtEYpsD5lhW7wrzfynM1A8gaUkrW8YEVKg62U1ChQNJfsenWIYZ-HOJrpc7Gc8uAHN5iw2IyZQhheaHR0xc68CYmK35yz5_vVU_tQbh_Xm3a5LY0CbEp0nNueAJS3de8trzwRcuc8eEIEpL73KISRvDK9AdeAqGpurEbOhfVizm6Puybt6CO9xpBTdwhkY9yl7t8thG97c7RvU3zfU8rdD3M05smEbnXXCuDAUSjxBZlvUL0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC31212835</pqid></control><display><type>book</type><title>Evolutionary Artificial Intelligence: Proceedings of ICEAI 2023</title><source>Springer Books</source><creator>Asirvatham, David ; Gonzalez-Longatt, Francisco M ; Falkowski-Gilski, Przemyslaw ; Kanthavel, R</creator><creatorcontrib>Asirvatham, David ; Gonzalez-Longatt, Francisco M ; Falkowski-Gilski, Przemyslaw ; Kanthavel, R</creatorcontrib><description>This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on Evolutionary Artificial Intelligence (ICEAI 2023) held in Malaysia during 13-14 September 2023. The focus of the book is interdisciplinary in nature and includes research on all aspects of evolutionary computation to find effective solutions to a wide range of computationally difficult problems. The book covers topics such as particle swarm optimization, evolutionary programming, genetic programming, hybrid evolutionary algorithms, ant colony optimization, evolutionary neural networks, evolutionary reinforcement learning, genetic algorithms, memetic algorithms, novel bio-inspired algorithms, evolving multi-agent systems, agent-based evolutionary approaches, and evolutionary game theory.</description><edition>1</edition><identifier>ISBN: 9789819984374</identifier><identifier>ISBN: 9819984378</identifier><identifier>EISBN: 9819984386</identifier><identifier>EISBN: 9789819984381</identifier><identifier>OCLC: 1427155464</identifier><language>eng</language><publisher>Singapore: Springer</publisher><subject>Artificial intelligence ; Evolutionary computation</subject><creationdate>2024</creationdate><tpages>563</tpages><format>563</format><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Algorithms for intelligent systems</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>306,776,780,782</link.rule.ids></links><search><creatorcontrib>Asirvatham, David</creatorcontrib><creatorcontrib>Gonzalez-Longatt, Francisco M</creatorcontrib><creatorcontrib>Falkowski-Gilski, Przemyslaw</creatorcontrib><creatorcontrib>Kanthavel, R</creatorcontrib><title>Evolutionary Artificial Intelligence: Proceedings of ICEAI 2023</title><description>This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on Evolutionary Artificial Intelligence (ICEAI 2023) held in Malaysia during 13-14 September 2023. The focus of the book is interdisciplinary in nature and includes research on all aspects of evolutionary computation to find effective solutions to a wide range of computationally difficult problems. The book covers topics such as particle swarm optimization, evolutionary programming, genetic programming, hybrid evolutionary algorithms, ant colony optimization, evolutionary neural networks, evolutionary reinforcement learning, genetic algorithms, memetic algorithms, novel bio-inspired algorithms, evolving multi-agent systems, agent-based evolutionary approaches, and evolutionary game theory.</description><subject>Artificial intelligence</subject><subject>Evolutionary computation</subject><isbn>9789819984374</isbn><isbn>9819984378</isbn><isbn>9819984386</isbn><isbn>9789819984381</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2024</creationdate><recordtype>book</recordtype><sourceid/><recordid>eNpNz81KAzEUBeCIKNo679CFC10MzM3PzM2yDrUWCm50PSSZGx0aJjpJK769YhVcHQ58HDgnbKYRtEYpsD5lhW7wrzfynM1A8gaUkrW8YEVKg62U1ChQNJfsenWIYZ-HOJrpc7Gc8uAHN5iw2IyZQhheaHR0xc68CYmK35yz5_vVU_tQbh_Xm3a5LY0CbEp0nNueAJS3de8trzwRcuc8eEIEpL73KISRvDK9AdeAqGpurEbOhfVizm6Puybt6CO9xpBTdwhkY9yl7t8thG97c7RvU3zfU8rdD3M05smEbnXXCuDAUSjxBZlvUL0</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Asirvatham, David</creator><creator>Gonzalez-Longatt, Francisco M</creator><creator>Falkowski-Gilski, Przemyslaw</creator><creator>Kanthavel, R</creator><general>Springer</general><scope/></search><sort><creationdate>2024</creationdate><title>Evolutionary Artificial Intelligence</title><author>Asirvatham, David ; Gonzalez-Longatt, Francisco M ; Falkowski-Gilski, Przemyslaw ; Kanthavel, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a5187-8c22bde115fb6dfb20fee82ccf1fe8818eddf833a420ada1c713062ab98223bf3</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Artificial intelligence</topic><topic>Evolutionary computation</topic><toplevel>online_resources</toplevel><creatorcontrib>Asirvatham, David</creatorcontrib><creatorcontrib>Gonzalez-Longatt, Francisco M</creatorcontrib><creatorcontrib>Falkowski-Gilski, Przemyslaw</creatorcontrib><creatorcontrib>Kanthavel, R</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Asirvatham, David</au><au>Gonzalez-Longatt, Francisco M</au><au>Falkowski-Gilski, Przemyslaw</au><au>Kanthavel, R</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Evolutionary Artificial Intelligence: Proceedings of ICEAI 2023</btitle><seriestitle>Algorithms for intelligent systems</seriestitle><date>2024</date><risdate>2024</risdate><isbn>9789819984374</isbn><isbn>9819984378</isbn><eisbn>9819984386</eisbn><eisbn>9789819984381</eisbn><abstract>This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on Evolutionary Artificial Intelligence (ICEAI 2023) held in Malaysia during 13-14 September 2023. The focus of the book is interdisciplinary in nature and includes research on all aspects of evolutionary computation to find effective solutions to a wide range of computationally difficult problems. The book covers topics such as particle swarm optimization, evolutionary programming, genetic programming, hybrid evolutionary algorithms, ant colony optimization, evolutionary neural networks, evolutionary reinforcement learning, genetic algorithms, memetic algorithms, novel bio-inspired algorithms, evolving multi-agent systems, agent-based evolutionary approaches, and evolutionary game theory.</abstract><cop>Singapore</cop><pub>Springer</pub><oclcid>1427155464</oclcid><tpages>563</tpages><edition>1</edition></addata></record> |
fulltext | fulltext |
identifier | ISBN: 9789819984374 |
ispartof | |
issn | |
language | eng |
recordid | cdi_askewsholts_vlebooks_9789819984381 |
source | Springer Books |
subjects | Artificial intelligence Evolutionary computation |
title | Evolutionary Artificial Intelligence: Proceedings of ICEAI 2023 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T03%3A44%3A32IST&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=Evolutionary%20Artificial%20Intelligence:%20Proceedings%20of%20ICEAI%202023&rft.au=Asirvatham,%20David&rft.date=2024&rft.isbn=9789819984374&rft.isbn_list=9819984378&rft_id=info:doi/&rft_dat=%3Cproquest_askew%3EEBC31212835%3C/proquest_askew%3E%3Curl%3E%3C/url%3E&rft.eisbn=9819984386&rft.eisbn_list=9789819984381&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC31212835&rft_id=info:pmid/&rfr_iscdi=true |