000 03016nam a22004695i 4500
001 978-3-642-40179-4
003 DE-He213
005 20140220082520.0
007 cr nn 008mamaa
008 130807s2014 gw | s |||| 0|eng d
020 _a9783642401794
_9978-3-642-40179-4
024 7 _a10.1007/978-3-642-40179-4
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aPintea, Camelia-Mihaela.
_eauthor.
245 1 0 _aAdvances in Bio-inspired Computing for Combinatorial Optimization Problems
_h[electronic resource] /
_cby Camelia-Mihaela Pintea.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aX, 188 p. 45 illus., 3 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v57
505 0 _aPart I Biological Computing and Optimization -- Part II Ant Algorithms -- Part III Bio-inspired Multi-Agent Systems -- Part IV Applications with Bio-inspired Algorithms -- Part V Conclusions and Remarks.
520 _a"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed. Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents. This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aOperations research.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aOperation Research/Decision Theory.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642401787
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v57
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-40179-4
912 _aZDB-2-ENG
999 _c93397
_d93397