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110204s2010 gw | s |||| 0|eng d |
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|a 9783642173905
|9 978-3-642-17390-5
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|a 10.1007/978-3-642-17390-5
|2 doi
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|a Q342
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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| 100 |
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|a Panigrahi, Bijaya Ketan.
|e editor.
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| 245 |
1 |
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|a Handbook of Swarm Intelligence
|b Concepts, Principles and Applications /
|c edited by Bijaya Ketan Panigrahi, Yuhui Shi, Meng-Hiot Lim.
|h [electronic resource] :
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2010.
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| 300 |
# |
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|a XII, 544 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Adaptation, Learning, and Optimization,
|v 8
|x 1867-4534 ;
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| 505 |
0 |
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|a Part A: Particle Swarm Optimization -- Part B: Bee Colony Optimization -- Part C: Ant� Colony Optimization.-Part D: Other Swarm Techniques.
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| 520 |
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|a From nature, we observe swarming behavior in the form of ant colonies, bird flocking, animal herding, honey bees, swarming of bacteria, and many more.� It is only in recent years that researchers have taken notice of such natural swarming systems as culmination of some form of innate collective intelligence, albeit swarm intelligence (SI) - a metaphor that inspires a myriad of computational problem-solving techniques.� In computational intelligence, swarm-like algorithms have been successfully applied to solve many real-world problems in engineering and sciences. This handbook volume serves as a useful foundational as well as consolidatory state-of-art collection of articles in the field from various researchers around the globe.� It has a rich collection of contributions pertaining to the theoretical and empirical study of single and multi-objective variants of swarm intelligence based algorithms like particle swarm optimization (PSO), ant colony optimization (ACO), bacterial foraging optimization algorithm (BFOA), honey bee social foraging algorithms, and harmony search (HS).� With chapters describing various applications of SI techniques in real-world engineering problems, this handbook can be a valuable resource for researchers and practitioners, giving an in-depth flavor of what SI is capable of achieving.
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| 650 |
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|a Engineering.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Computational Intelligence.
|
| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
| 700 |
1 |
# |
|a Shi, Yuhui.
|e editor.
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| 700 |
1 |
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|a Lim, Meng-Hiot.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642173899
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| 830 |
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|a Adaptation, Learning, and Optimization,
|v 8
|x 1867-4534 ;
|
| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-17390-5
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| 912 |
# |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
|