Parameter control in evolutionary algorithms

The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising areas of research in evolutionary computation: it has a potential of adjusting the algorithm to the problem while solving the problem. In the paper we: 1) revise the terminol...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on evolutionary computation 1999-07, Vol.3 (2), p.124-141
Main Authors: Eiben, A.E., Hinterding, R., Michalewicz, Z.
Format: Article
Language:English
Subjects:
Algorithmics. Computability. Computer arithmetics
Algorithms
Applied sciences
Bridges
Classification
Communities
Computer science
Computer science
control theory
systems
Evolutionary algorithms
Evolutionary computation
Exact sciences and technology
Genetic mutations
Information technology
Power control
Problem-solving
Real time systems
Terminology
Theoretical computing
Citations: Items that this one cites
Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c476t-d19d70c67f979ca6bdef77654a66baaebef2c783128a001036b0b339622157af3
cites cdi_FETCH-LOGICAL-c476t-d19d70c67f979ca6bdef77654a66baaebef2c783128a001036b0b339622157af3
container_end_page 141
container_issue 2
container_start_page 124
container_title IEEE transactions on evolutionary computation
container_volume 3
creator Eiben, A.E.
Hinterding, R.
Michalewicz, Z.
description The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising areas of research in evolutionary computation: it has a potential of adjusting the algorithm to the problem while solving the problem. In the paper we: 1) revise the terminology, which is unclear and confusing, thereby providing a classification of such control mechanisms, and 2) survey various forms of control which have been studied by the evolutionary computation community in recent years. Our classification covers the major forms of parameter control in evolutionary computation and suggests some directions for further research.
doi_str_mv 10.1109/4235.771166
format article
fullrecord <record><control><sourceid>proquest_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_771166</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>771166</ieee_id><sourcerecordid>27081714</sourcerecordid><originalsourceid>FETCH-LOGICAL-c476t-d19d70c67f979ca6bdef77654a66baaebef2c783128a001036b0b339622157af3</originalsourceid><addsrcrecordid>eNqFkE1LxDAQhoMouK6evHnqQfSgXTP9yCRHWfyCBT0oeCvTbKqVtNGkK_jvzdJFb3qagXnmZeZh7BD4DICriyLLyxkigBBbbAKqgJTzTGzHnkuVIsrnXbYXwhvnUJSgJuz8gTx1ZjA-0a4fvLNJ2yfm09nV0Lqe_FdC9sX5dnjtwj7bacgGc7CpU_Z0ffU4v00X9zd388tFqgsUQ7oEtUSuBTYKlSZRL02DKMqChKiJTG2aTKPMIZMUD-G5qHmd50pkGZRITT5lp2Puu3cfKxOGqmuDNtZSb9wqVAqUiv9IEcmTP8lMliAhV_-DyCUgFBE8G0HtXQjeNNW7b7vooQJerSVXa8nVKDnSx5tYCpps46nXbfhdUSWgwIgdjVhrjPmZbjK-AfMogoc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>27081714</pqid></control><display><type>article</type><title>Parameter control in evolutionary algorithms</title><source>IEEE Xplore All Conference Series</source><creator>Eiben, A.E. ; Hinterding, R. ; Michalewicz, Z.</creator><creatorcontrib>Eiben, A.E. ; Hinterding, R. ; Michalewicz, Z.</creatorcontrib><description>The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising areas of research in evolutionary computation: it has a potential of adjusting the algorithm to the problem while solving the problem. In the paper we: 1) revise the terminology, which is unclear and confusing, thereby providing a classification of such control mechanisms, and 2) survey various forms of control which have been studied by the evolutionary computation community in recent years. Our classification covers the major forms of parameter control in evolutionary computation and suggests some directions for further research.</description><identifier>ISSN: 1089-778X</identifier><identifier>EISSN: 1941-0026</identifier><identifier>DOI: 10.1109/4235.771166</identifier><identifier>CODEN: ITEVF5</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithmics. Computability. Computer arithmetics ; Algorithms ; Applied sciences ; Bridges ; Classification ; Communities ; Computer science ; Computer science; control theory; systems ; Evolutionary algorithms ; Evolutionary computation ; Exact sciences and technology ; Genetic mutations ; Information technology ; Power control ; Problem-solving ; Real time systems ; Terminology ; Theoretical computing</subject><ispartof>IEEE transactions on evolutionary computation, 1999-07, Vol.3 (2), p.124-141</ispartof><rights>1999 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c476t-d19d70c67f979ca6bdef77654a66baaebef2c783128a001036b0b339622157af3</citedby><cites>FETCH-LOGICAL-c476t-d19d70c67f979ca6bdef77654a66baaebef2c783128a001036b0b339622157af3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/771166$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,54530,54771,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/771166$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=1951767$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Eiben, A.E.</creatorcontrib><creatorcontrib>Hinterding, R.</creatorcontrib><creatorcontrib>Michalewicz, Z.</creatorcontrib><title>Parameter control in evolutionary algorithms</title><title>IEEE transactions on evolutionary computation</title><addtitle>TEVC</addtitle><description>The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising areas of research in evolutionary computation: it has a potential of adjusting the algorithm to the problem while solving the problem. In the paper we: 1) revise the terminology, which is unclear and confusing, thereby providing a classification of such control mechanisms, and 2) survey various forms of control which have been studied by the evolutionary computation community in recent years. Our classification covers the major forms of parameter control in evolutionary computation and suggests some directions for further research.</description><subject>Algorithmics. Computability. Computer arithmetics</subject><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Bridges</subject><subject>Classification</subject><subject>Communities</subject><subject>Computer science</subject><subject>Computer science; control theory; systems</subject><subject>Evolutionary algorithms</subject><subject>Evolutionary computation</subject><subject>Exact sciences and technology</subject><subject>Genetic mutations</subject><subject>Information technology</subject><subject>Power control</subject><subject>Problem-solving</subject><subject>Real time systems</subject><subject>Terminology</subject><subject>Theoretical computing</subject><issn>1089-778X</issn><issn>1941-0026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LxDAQhoMouK6evHnqQfSgXTP9yCRHWfyCBT0oeCvTbKqVtNGkK_jvzdJFb3qagXnmZeZh7BD4DICriyLLyxkigBBbbAKqgJTzTGzHnkuVIsrnXbYXwhvnUJSgJuz8gTx1ZjA-0a4fvLNJ2yfm09nV0Lqe_FdC9sX5dnjtwj7bacgGc7CpU_Z0ffU4v00X9zd388tFqgsUQ7oEtUSuBTYKlSZRL02DKMqChKiJTG2aTKPMIZMUD-G5qHmd50pkGZRITT5lp2Puu3cfKxOGqmuDNtZSb9wqVAqUiv9IEcmTP8lMliAhV_-DyCUgFBE8G0HtXQjeNNW7b7vooQJerSVXa8nVKDnSx5tYCpps46nXbfhdUSWgwIgdjVhrjPmZbjK-AfMogoc</recordid><startdate>19990701</startdate><enddate>19990701</enddate><creator>Eiben, A.E.</creator><creator>Hinterding, R.</creator><creator>Michalewicz, Z.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7SP</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>19990701</creationdate><title>Parameter control in evolutionary algorithms</title><author>Eiben, A.E. ; Hinterding, R. ; Michalewicz, Z.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c476t-d19d70c67f979ca6bdef77654a66baaebef2c783128a001036b0b339622157af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Algorithmics. Computability. Computer arithmetics</topic><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Bridges</topic><topic>Classification</topic><topic>Communities</topic><topic>Computer science</topic><topic>Computer science; control theory; systems</topic><topic>Evolutionary algorithms</topic><topic>Evolutionary computation</topic><topic>Exact sciences and technology</topic><topic>Genetic mutations</topic><topic>Information technology</topic><topic>Power control</topic><topic>Problem-solving</topic><topic>Real time systems</topic><topic>Terminology</topic><topic>Theoretical computing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Eiben, A.E.</creatorcontrib><creatorcontrib>Hinterding, R.</creatorcontrib><creatorcontrib>Michalewicz, Z.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore / Electronic Library Online (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on evolutionary computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Eiben, A.E.</au><au>Hinterding, R.</au><au>Michalewicz, Z.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Parameter control in evolutionary algorithms</atitle><jtitle>IEEE transactions on evolutionary computation</jtitle><stitle>TEVC</stitle><date>1999-07-01</date><risdate>1999</risdate><volume>3</volume><issue>2</issue><spage>124</spage><epage>141</epage><pages>124-141</pages><issn>1089-778X</issn><eissn>1941-0026</eissn><coden>ITEVF5</coden><abstract>The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising areas of research in evolutionary computation: it has a potential of adjusting the algorithm to the problem while solving the problem. In the paper we: 1) revise the terminology, which is unclear and confusing, thereby providing a classification of such control mechanisms, and 2) survey various forms of control which have been studied by the evolutionary computation community in recent years. Our classification covers the major forms of parameter control in evolutionary computation and suggests some directions for further research.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/4235.771166</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1089-778X
ispartof IEEE transactions on evolutionary computation, 1999-07, Vol.3 (2), p.124-141
issn 1089-778X
1941-0026
language eng
recordid cdi_ieee_primary_771166
source IEEE Xplore All Conference Series
subjects Algorithmics. Computability. Computer arithmetics
Algorithms
Applied sciences
Bridges
Classification
Communities
Computer science
Computer science
control theory
systems
Evolutionary algorithms
Evolutionary computation
Exact sciences and technology
Genetic mutations
Information technology
Power control
Problem-solving
Real time systems
Terminology
Theoretical computing
title Parameter control in evolutionary algorithms
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T13%3A58%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Parameter%20control%20in%20evolutionary%20algorithms&rft.jtitle=IEEE%20transactions%20on%20evolutionary%20computation&rft.au=Eiben,%20A.E.&rft.date=1999-07-01&rft.volume=3&rft.issue=2&rft.spage=124&rft.epage=141&rft.pages=124-141&rft.issn=1089-778X&rft.eissn=1941-0026&rft.coden=ITEVF5&rft_id=info:doi/10.1109/4235.771166&rft_dat=%3Cproquest_CHZPO%3E27081714%3C/proquest_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c476t-d19d70c67f979ca6bdef77654a66baaebef2c783128a001036b0b339622157af3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=27081714&rft_id=info:pmid/&rft_ieee_id=771166&rfr_iscdi=true