03911cam a2200553Ii 4500001001300000003000600013005001700019006001900036007001500055008004100070040013300111020003600244020003300280020001800313035005700331050001300388072002500401072002500426072002500451072002500476072002500501072002500526072002500551082001400576100003200590245007300622264007700695300002200772336002600794337002600820338003600846347001900882588003000901504005100931520028700982505101901269505060802288650002302896650004302919650004202962650004103004650004303045650004803088650004003136650003503176650004903211655002203260856007503282ocn919317951OCoLC20190328114812.0m     o  d        cr cnu|||unuuu150828s2015    enk     ob    001 0 eng d  aN$TbengerdaepncN$TdYDXCPdN$TdIDEBKdCDXdOPELSdEBLCPdOCLCFdFEMdVGMdOCLCQdMERUCdBUFdU3WdD6HdAU@dOCLCQdWYUdTKN  a9780081004654q(electronic bk.)  a0081004656q(electronic bk.)  z9781785480218  a(OCoLC)919317951z(OCoLC)968038279z(OCoLC)969076076 4aTK5105.5 7aCOMx0130002bisacsh 7aCOMx0140002bisacsh 7aCOMx0180002bisacsh 7aCOMx0670002bisacsh 7aCOMx0320002bisacsh 7aCOMx0370002bisacsh 7aCOMx0520002bisacsh04a004.62231 aC�amara, Daniel,eauthor.10aBio-Inspired Networking / h[electronic resource]cDaniel C�amara. 1aLondon :bISTE Press Ltd. ;aKidlington, Oxford :bElsevier Ltd.,c2015.  a1 online resource  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext file2rda0 aVendor-supplied metadata.  aIncludes bibliographical references and index.  aBio-inspired techniques are based on principles, or models, of biological systems. In general, natural systems present remarkable capabilities of resilience and adaptability. In this book, we explore how bio-inspired methods can solve different problems linked to computer networks.0 aMachine generated contents note: ch. 1 Evolution and Evolutionary Algorithms -- 1.1. Brief introduction to evolution -- 1.2. Mechanisms of evolution -- 1.2.1. DNA code -- 1.2.2. Mutation -- 1.2.3. Sexual reproduction and recombination -- 1.2.4. Natural selection -- 1.2.5. Genetic drift -- 1.3. Artificial evolution -- 1.3.1. The basic process -- 1.3.2. Limitations -- 1.4. Applications on networks -- 1.4.1.Network positioning -- 1.4.2. Routing -- 1.4.3. Other works -- 1.5. Further reading -- 1.6. Bibliography -- ch. 2 Chemical Computing -- 2.1. Artificial chemistry -- 2.2. Applications on networks -- 2.2.1. Data dissemination -- 2.2.2. Routing -- 2.3. Further reading -- 2.4. Bibliography -- ch. 3 Nervous System -- 3.1. Nervous system hierarchy -- 3.1.1. Central nervous system -- 3.1.2. Peripheral nervous system -- 3.2. The neuron -- 3.3. The neocortex -- 3.4. Speed and capacity -- 3.5. Artificial neural networks -- 3.5.1. The perceptron -- 3.5.2. Interconnecting perceptrons -- 3.5.3. Learning process.0 aNote continued: 3.5.4. The backpropagation algorithm -- 3.6. Applications on networks -- 3.6.1. ANN in intrusion detection systems -- 3.6.2. Fault detection -- 3.6.3. Routing -- 3.7. Further reading -- 3.8. Bibliography -- ch. 4 Swarm Intelligence (SI) -- 4.1. Ant colony optimization -- 4.2. Applications on networks -- 4.2.1. Ants colony on routing -- 4.2.2. Ants colony on intrusion detection -- 4.3. Particle swarm optimization -- 4.4. Applications on networks -- 4.4.1. Particle swarm on node positioning -- 4.4.2. Particle swarm on intrusion detection -- 4.5. Further reading -- 4.6. Bibliography. 0aComputer networks. 7aCOMPUTERSxComputer Literacy.2bisacsh 7aCOMPUTERSxComputer Science.2bisacsh 7aCOMPUTERSxData Processing.2bisacsh 7aCOMPUTERSxHardwarexGeneral.2bisacsh 7aCOMPUTERSxInformation Technology.2bisacsh 7aCOMPUTERSxMachine Theory.2bisacsh 7aCOMPUTERSxReference.2bisacsh 7aComputer networks.2fast0(OCoLC)fst00872297 4aElectronic books.403ScienceDirectuhttp://www.sciencedirect.com/science/book/9781785480218