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010   $a981-13-2586-3
024 7 $a10.1007/978-981-13-2586-1
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035   $a(DE-He213)978-981-13-2586-1
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100   $a20181110d2019      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBiogeography-Based Optimization: Algorithms and Applications$b[electronic resource] /$fby Yujun Zheng, Xueqin Lu, Minxia Zhang, Shengyong Chen
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (225 pages)
311   $a981-13-2585-5 
327   $aIntroduction -- The basic biogeography-based optimization -- Localized basic biogeography-based optimization: Improved by local topologies -- Ecogeography-based optimization: Improved by new migration mechanisms -- Hybridization with other algorithms -- Applications in transportation -- Applications in image processing -- Applications in neural network learning.
330   $aThis book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors? recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.
606   $aEngineering
606   $aArtificial intelligence
606   $aAlgorithms
606   $aMathematical optimization
606   $aComputational Intelligence$3http://scigraph.springernature.com/things/product-market-codes/T11014
606   $aArtificial Intelligence$3http://scigraph.springernature.com/things/product-market-codes/I21000
606   $aAlgorithms$3http://scigraph.springernature.com/things/product-market-codes/M14018
606   $aOptimization$3http://scigraph.springernature.com/things/product-market-codes/M26008
606   $aBiogeosciences$3http://scigraph.springernature.com/things/product-market-codes/G35010
615  0$aEngineering.
615  0$aArtificial intelligence.
615  0$aAlgorithms.
615  0$aMathematical optimization.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aAlgorithms.
615 24$aOptimization.
615 24$aBiogeosciences.
676   $a006.38
700   $aZheng$b Yujun$4aut$4http://id.loc.gov/vocabulary/relators/aut$01228336
702   $aLu$b Xueqin$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aZhang$b Minxia$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aChen$b Shengyong$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910483459203321
996   $aBiogeography-Based Optimization: Algorithms and Applications$92851657
997   $aUNINA