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dc.contributor.editorGao, Shangce
dc.date.accessioned2021-04-20T15:24:05Z
dc.date.available2021-04-20T15:24:05Z
dc.date.issued2012
dc.identifierONIX_20210420_9789535102144_1069
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/65712
dc.description.abstractBio-inspired computational algorithms are always hot research topics in artificial intelligence communities. Biology is a bewildering source of inspiration for the design of intelligent artifacts that are capable of efficient and autonomous operation in unknown and changing environments. It is difficult to resist the fascination of creating artifacts that display elements of lifelike intelligence, thus needing techniques for control, optimization, prediction, security, design, and so on. Bio-Inspired Computational Algorithms and Their Applications is a compendium that addresses this need. It integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems. The works presented in this book give insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques. The book provides a reference to researchers, practitioners, and students in both artificial intelligence and engineering communities, forming a foundation for the development of the field.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineeringen_US
dc.subject.otherAlgorithms & data structures
dc.titleBio-Inspired Computational Algorithms and Their Applications
dc.typebook
oapen.identifier.doi10.5772/2358
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789535102144
oapen.relation.isbn9789535156383
oapen.imprintIntechOpen
oapen.pages434


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