Swarm Intelligence, Focus on Ant and Particle Swarm Optimization / / edited by Felix T. S. Chan and Manoj Kumar Tiwari.
In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and...
Saved in:
: | |
---|---|
TeilnehmendeR: | |
Place / Publishing House: | Rijeka : : IntechOpen,, 2007. ©2007 |
Year of Publication: | 2007 |
Edition: | 1st ed. |
Language: | English |
Physical Description: | 1 online resource (xv, 532 pages) :; illustrations (some color) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993547834404498 |
---|---|
ctrlnum |
(CKB)3230000000075317 (NjHacI)993230000000075317 (oapen)https://directory.doabooks.org/handle/20.500.12854/60366 (MiAaPQ)EBC30390309 (Au-PeEL)EBL30390309 (EXLCZ)993230000000075317 |
collection |
bib_alma |
record_format |
marc |
spelling |
Manoj Kumar Tiwari auth Swarm Intelligence, Focus on Ant and Particle Swarm Optimization / edited by Felix T. S. Chan and Manoj Kumar Tiwari. 1st ed. IntechOpen 2007 Rijeka : IntechOpen, 2007. ©2007 1 online resource (xv, 532 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on publisher supplied metadata and other sources. In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on ""Swarm Intelligence: Focus on Ant and Particle Swarm Optimization"" aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics. English Swarm intelligence. Physical Sciences Engineering and Technology Intelligent System Computer and Information Science Artificial Intelligence 3-902613-09-2 Chan, Felix T. S, editor. Tiwari, Manoj, editor. |
language |
English |
format |
eBook |
author |
Manoj Kumar Tiwari |
spellingShingle |
Manoj Kumar Tiwari Swarm Intelligence, Focus on Ant and Particle Swarm Optimization / |
author_facet |
Manoj Kumar Tiwari Chan, Felix T. S, Tiwari, Manoj, |
author_variant |
m k t mkt |
author2 |
Chan, Felix T. S, Tiwari, Manoj, |
author2_variant |
f t s c fts ftsc m t mt |
author2_role |
TeilnehmendeR TeilnehmendeR |
author_sort |
Manoj Kumar Tiwari |
title |
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization / |
title_full |
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization / edited by Felix T. S. Chan and Manoj Kumar Tiwari. |
title_fullStr |
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization / edited by Felix T. S. Chan and Manoj Kumar Tiwari. |
title_full_unstemmed |
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization / edited by Felix T. S. Chan and Manoj Kumar Tiwari. |
title_auth |
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization / |
title_new |
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization / |
title_sort |
swarm intelligence, focus on ant and particle swarm optimization / |
publisher |
IntechOpen IntechOpen, |
publishDate |
2007 |
physical |
1 online resource (xv, 532 pages) : illustrations (some color) |
edition |
1st ed. |
isbn |
953-51-5816-3 3-902613-09-2 |
callnumber-first |
Q - Science |
callnumber-subject |
Q - General Science |
callnumber-label |
Q337 |
callnumber-sort |
Q 3337.3 S937 42007 |
illustrated |
Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
006 - Special computer methods |
dewey-full |
006.3 |
dewey-sort |
16.3 |
dewey-raw |
006.3 |
dewey-search |
006.3 |
work_keys_str_mv |
AT manojkumartiwari swarmintelligencefocusonantandparticleswarmoptimization AT chanfelixts swarmintelligencefocusonantandparticleswarmoptimization AT tiwarimanoj swarmintelligencefocusonantandparticleswarmoptimization |
status_str |
n |
ids_txt_mv |
(CKB)3230000000075317 (NjHacI)993230000000075317 (oapen)https://directory.doabooks.org/handle/20.500.12854/60366 (MiAaPQ)EBC30390309 (Au-PeEL)EBL30390309 (EXLCZ)993230000000075317 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization / |
author2_original_writing_str_mv |
noLinkedField noLinkedField |
_version_ |
1787551946410819584 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01026nam a2200301 i 4500</leader><controlfield tag="001">993547834404498</controlfield><controlfield tag="005">20221014075505.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |||||||||||</controlfield><controlfield tag="008">221014s2007 ci a o 000 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">953-51-5816-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)3230000000075317</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)993230000000075317</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/60366</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)EBC30390309</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL30390309</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)993230000000075317</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">NjHacI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">NjHacl</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">Q337.3</subfield><subfield code="b">.S937 2007</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Manoj Kumar Tiwari</subfield><subfield code="4">auth</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Swarm Intelligence, Focus on Ant and Particle Swarm Optimization /</subfield><subfield code="c">edited by Felix T. S. Chan and Manoj Kumar Tiwari.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">IntechOpen</subfield><subfield code="c">2007</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Rijeka :</subfield><subfield code="b">IntechOpen,</subfield><subfield code="c">2007.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2007</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xv, 532 pages) :</subfield><subfield code="b">illustrations (some color)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on ""Swarm Intelligence: Focus on Ant and Particle Swarm Optimization"" aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Swarm intelligence.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Physical Sciences</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Engineering and Technology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Intelligent System</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Computer and Information Science</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-902613-09-2</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chan, Felix T. S,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tiwari, Manoj,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-07-07 00:28:29 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2012-12-09 08:17:33 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5351627410004498&Force_direct=true</subfield><subfield code="Z">5351627410004498</subfield><subfield code="b">Available</subfield><subfield code="8">5351627410004498</subfield></datafield></record></collection> |