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010   $a3-319-59156-8
024 7 $a10.1007/978-3-319-59156-8
035   $a(CKB)4100000006674781
035   $a(MiAaPQ)EBC5528152
035   $a(DE-He213)978-3-319-59156-8
035   $a(PPN)230539424
035   $a(EXLCZ)994100000006674781
100   $a20180926d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aForaging-Inspired Optimisation Algorithms /$fby Anthony Brabazon, Seán McGarraghy
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (476 pages)
225 1 $aNatural Computing Series,$x2627-6461
311   $a3-319-59155-X 
327   $aIntroduction -- Formal Models of Foraging -- Sensor Modalities -- Individual and Social Learning -- Introduction to Foraging Algorithms -- Mammals -- Bird Foraging Algorithms -- Fish Algorithms -- Ant Foraging Algorithms -- Honeybee Inspired Algorithms -- Bioluminescence Algorithms -- Spider Algorithms -- Worm Algorithm -- Bacteria Inspired Algorithms -- Slime Mould Foraging -- Plant Foraging Algorithms -- Group Search and Predatory Search -- Evolving Foraging Algorithms -- Conclusions.
330   $aThis book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for optimization, they then explain the techniques inspired by the behaviors of vertebrates, invertebrates, and non-neuronal organisms, and they then discuss algorithms based on formal models of foraging, how to evolve a foraging strategy, and likely future developments. No prior knowledge of natural computing is assumed. This book will be of particular interest to graduate students, academics and practitioners in computer science, informatics, data science, management science, and other application domains.
410  0$aNatural Computing Series,$x2627-6461
606   $aComputer science
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aOperations research
606   $aManagement science
606   $aTheory of Computation
606   $aComputational Intelligence
606   $aArtificial Intelligence
606   $aOperations Research, Management Science 
606   $aOperations Research and Decision Theory
615  0$aComputer science.
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aOperations research.
615  0$aManagement science.
615 14$aTheory of Computation.
615 24$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aOperations Research, Management Science .
615 24$aOperations Research and Decision Theory.
676   $a519.3
700   $aBrabazon$b Anthony$4aut$4http://id.loc.gov/vocabulary/relators/aut$0841290
702   $aMcGarraghy$b Seán$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910734097503321
996   $aForaging-Inspired Optimisation Algorithms$93400446
997   $aUNINA