000 03815nam a22004815i 4500
001 978-3-319-30235-5
003 DE-He213
005 20200420220227.0
007 cr nn 008mamaa
008 160319s2016 gw | s |||| 0|eng d
020 _a9783319302355
_9978-3-319-30235-5
024 7 _a10.1007/978-3-319-30235-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aNature-Inspired Computation in Engineering
_h[electronic resource] /
_cedited by Xin-She Yang.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aX, 276 p. 54 illus., 34 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 _aStudies in Computational Intelligence,
_x1860-949X ;
_v637
505 0 _aFlower Pollination Algorithm and its Applications in Engineering -- An Evolutionary Discrete Firefly Algorithm with Novel Operators for Solving the Vehicle Routing Problem with TimeWindows -- The Plant Propagation Algorithm for Discrete Optimisation: The Case of the Travelling Salesman Problem -- Enhancing Cooperative Coevolution with Surrogate-Assisted Local Search -- Cuckoo Search: From Cuckoo Reproduction Strategy to Combinatorial Optimization -- Clustering Optimization for WSN based on Nature-Inspired Algorithms -- Discrete Firefly Algorithm for Recruiting Task in a Swarm of Robots -- Nature-Inspired Swarm Intelligence for Data Fitting in Reverse Engineering: Recent Advances and FutureTrends -- A Novel Fast Optimisation Algorithm Using Differential Evolution Algorithm Optimisation and Meta- Modelling Approach -- A Hybridization of Runner-Based and Seed-Based Plant Propagation Algorithm -- Gravitational Search Algorithm Applied to Cell Formation Problem -- Parameterless Bat Algorithm and its Performace Study.
520 _aThis timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining. .
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aYang, Xin-She.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319302331
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v637
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-30235-5
912 _aZDB-2-ENG
942 _cEBK
999 _c52262
_d52262