Cargando…

Innovations in Swarm Intelligence

Over the past two decades, swarm intelligence has emerged as a powerful approach to solving optimization as well as other complex problems. Swarm intelligence models are inspired by social behaviours of simple agents interacting among themselves as well as with the environment, e.g., flocking of bir...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Lim, Chee Peng (Editor ), Dehuri, Satchidananda (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 248
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-642-04225-6
003 DE-He213
005 20220117021748.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 |a 9783642042256  |9 978-3-642-04225-6 
024 7 |a 10.1007/978-3-642-04225-6  |2 doi 
050 4 |a TA329-348 
050 4 |a TA345-345.5 
072 7 |a TBJ  |2 bicssc 
072 7 |a TEC009000  |2 bisacsh 
072 7 |a TBJ  |2 thema 
082 0 4 |a 620  |2 23 
245 1 0 |a Innovations in Swarm Intelligence  |h [electronic resource] /  |c edited by Chee Peng Lim, Satchidananda Dehuri. 
250 |a 1st ed. 2009. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2009. 
300 |a VIII, 255 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 248 
505 0 |a Advances in Swarm Intelligence -- A Review of Particle Swarm Optimization Methods Used for Multimodal Optimization -- Bee Colony Optimization (BCO) -- Glowworm Swarm Optimization for Searching Higher Dimensional Spaces -- Agent Specialization in Complex Social Swarms -- Computational Complexity of Ant Colony Optimization and Its Hybridization with Local Search -- A Multi-resolution GA-PSO Layered Encoding Cascade Optimization Model -- Integrating Swarm Intelligent Algorithms for Translation Initiation Sites Prediction -- Particle Swarm Optimization for Optimal Operational Planning of Energy Plants -- Modelling Nanorobot Control Using Swarm Intelligence: A Pilot Study -- ACO Hybrid Algorithm for Document Classification System -- Identifying Disease-Related Biomarkers by Studying Social Networks of Genes. 
520 |a Over the past two decades, swarm intelligence has emerged as a powerful approach to solving optimization as well as other complex problems. Swarm intelligence models are inspired by social behaviours of simple agents interacting among themselves as well as with the environment, e.g., flocking of birds, schooling of fish, foraging of bees and ants. The collective behaviours that emerge out of the interactions at the colony level are useful in achieving complex goals. The main aim of this research book is to present a sample of recent innovations and advances in techniques and applications of swarm intelligence. Among the topics covered in this book include: particle swarm optimization and hybrid methods ant colony optimization and hybrid methods bee colony optimization, glowworm swarm optimization, and complex social swarms application of various swarm intelligence models to operational planning of energy plants, modelling and control of nanorobots, classification of documents, identification of disease biomarkers, and prediction of gene signals The book is directed to researchers, practicing professionals, and undergraduate as well as graduate students of all disciplines who are interested in enhancing their knowledge in techniques and applications of swarm intelligence. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering-Data processing. 
650 0 |a Artificial intelligence. 
650 1 4 |a Mathematical and Computational Engineering Applications. 
650 2 4 |a Artificial Intelligence. 
700 1 |a Lim, Chee Peng.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Dehuri, Satchidananda.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642042621 
776 0 8 |i Printed edition:  |z 9783642042249 
776 0 8 |i Printed edition:  |z 9783642260568 
830 0 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 248 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-642-04225-6  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)