Ant Colony Optimization : : Techniques and Applications / / Helio J. C. Barbosa, editor.
Ant Colony Optimization (ACO) is the best example of how studies aimed at understanding and modeling the behavior of ants and other social insects can provide inspiration for the development of computational algorithms for the solution of difficult mathematical problems. Introduced by Marco Dorigo i...
Saved in:
TeilnehmendeR: | |
---|---|
Place / Publishing House: | Rijeka, Croatia : : IntechOpen,, [2013] ©2013 |
Year of Publication: | 2013 |
Language: | English |
Physical Description: | 1 online resource (214 pages) :; illustrations |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 02353nam a2200421 i 4500 | ||
---|---|---|---|
001 | 993546078204498 | ||
005 | 20240112203144.0 | ||
006 | m o d | ||
007 | cr#||||||||||| | ||
008 | 221017s2013 ci a ob 001 0 eng d | ||
020 | |a 953-51-5717-5 | ||
035 | |a (CKB)4970000000098561 | ||
035 | |a (NjHacI)994970000000098561 | ||
035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/66429 | ||
035 | |a (EXLCZ)994970000000098561 | ||
040 | |a NjHacI |b eng |e rda |c NjHacl | ||
041 | 0 | |a eng | |
050 | 4 | |a QL568.F7 |b .A58 2013 | |
082 | 0 | 4 | |a 595.796 |2 23 |
100 | 1 | |a Barbosa, Helio J.C. |4 edt | |
245 | 0 | 0 | |a Ant Colony Optimization : |b Techniques and Applications / |c Helio J. C. Barbosa, editor. |
246 | |a Ant colony optimization | ||
260 | |b IntechOpen |c 2013 | ||
264 | 1 | |a Rijeka, Croatia : |b IntechOpen, |c [2013] | |
264 | 4 | |c ©2013 | |
300 | |a 1 online resource (214 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
588 | |a Description based on: online resource; title from PDF information screen (InTech, viewed October 17, 2022). | ||
504 | |a Includes bibliographical references and index. | ||
506 | |a Open access |f Unrestricted online access |2 star | ||
520 | |a Ant Colony Optimization (ACO) is the best example of how studies aimed at understanding and modeling the behavior of ants and other social insects can provide inspiration for the development of computational algorithms for the solution of difficult mathematical problems. Introduced by Marco Dorigo in his PhD thesis (1992) and initially applied to the travelling salesman problem, the ACO field has experienced a tremendous growth, standing today as an important nature-inspired stochastic metaheuristic for hard optimization problems. This book presents state-of-the-art ACO methods and is divided into two parts: (I) Techniques, which includes parallel implementations, and (II) Applications, where recent contributions of ACO to diverse fields, such as traffic congestion and control, structural optimization, manufacturing, and genomics are presented. | ||
546 | |a English | ||
650 | 0 | |a Ants |x Behavior |x Mathematical models. | |
653 | |a Computer programming / software development | ||
776 | |z 953-51-1001-2 | ||
700 | 1 | |a Barbosa, Helio J. C., |e editor. | |
906 | |a BOOK | ||
ADM | |b 2024-01-13 08:09:24 Europe/Vienna |f system |c marc21 |a 2019-04-13 22:04:18 Europe/Vienna |g false | ||
AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338135930004498&Force_direct=true |Z 5338135930004498 |b Available |8 5338135930004498 |