000 03116nam a22004695i 4500
001 978-3-642-17390-5
003 DE-He213
005 20140220083750.0
007 cr nn 008mamaa
008 110204s2011 gw | s |||| 0|eng d
020 _a9783642173905
_9978-3-642-17390-5
024 7 _a10.1007/978-3-642-17390-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aPanigrahi, Bijaya Ketan.
_eeditor.
245 1 0 _aHandbook of Swarm Intelligence
_h[electronic resource] :
_bConcepts, Principles and Applications /
_cedited by Bijaya Ketan Panigrahi, Yuhui Shi, Meng-Hiot Lim.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aXII, 544 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdaptation, Learning, and Optimization,
_x1867-4534 ;
_v8
505 0 _aPart A: Particle Swarm Optimization -- Part B: Bee Colony Optimization -- Part C: Ant  Colony Optimization.-Part D: Other Swarm Techniques.
520 _aFrom 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.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aShi, Yuhui.
_eeditor.
700 1 _aLim, Meng-Hiot.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642173899
830 0 _aAdaptation, Learning, and Optimization,
_x1867-4534 ;
_v8
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-17390-5
912 _aZDB-2-ENG
999 _c107246
_d107246