Particle Swarm Optimization
Particle swarm optimization (PSO) is a population based stochastic optimization technique influenced by the social behavior of bird flocking or fish schooling.PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). The system is initialized with a popul...
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2009
|
| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000naaaa2200000uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_64720 | ||
| 005 | 20210420 | ||
| 003 | oapen | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20210420s2009 xx |||||o ||| 0|eng d | ||
| 020 | |a 109 | ||
| 020 | |a 9789537619480 | ||
| 020 | |a 9789535157472 | ||
| 040 | |a oapen |c oapen | ||
| 024 | 7 | |a 10.5772/109 |c doi | |
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a UYF |2 bicssc | |
| 100 | 1 | |a Lazinica, Aleksandar |4 edt | |
| 700 | 1 | |a Lazinica, Aleksandar |4 oth | |
| 245 | 1 | 0 | |a Particle Swarm Optimization |
| 260 | |b IntechOpen |c 2009 | ||
| 300 | |a 1 electronic resource (488 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a Particle swarm optimization (PSO) is a population based stochastic optimization technique influenced by the social behavior of bird flocking or fish schooling.PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). The system is initialized with a population of random solutions and searches for optima by updating generations. However, unlike GA, PSO has no evolution operators such as crossover and mutation. In PSO, the potential solutions, called particles, fly through the problem space by following the current optimum particles. This book represents the contributions of the top researchers in this field and will serve as a valuable tool for professionals in this interdisciplinary field. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-sa/3.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-sa/3.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Computer architecture & logic design |2 bicssc | |
| 653 | |a Computer architecture & logic design | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mts.intechopen.com/storage/books/3759/authors_book/authors_book.pdf |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/64720 |7 0 |z DOAB: description of the publication |