Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/129403
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dc.contributor.authorShangce Gao
dc.date.accessioned2017-04-30T13:30:05Z-
dc.date.available2017-04-30T13:30:05Z-
dc.date.issued2012
dc.identifier.isbn978-953-51-0214-4
dc.identifier.urihttp://hdl.handle.net/123456789/129403-
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.language.isoeng
dc.publisherInTech
dc.relation.isbasedon10.5772/2358
dc.relation.urihttp://www.intechopen.com/books/bio-inspired-computational-algorithms-and-their-applications
dc.rights.uriCC by (姓名標示)
dc.sourceInTech
dc.subject.classificationComputer and Information Science
dc.subject.classification Numerical Analysis and Scientific Computing
dc.titleBio-Inspired Computational Algorithms and Their Applications
dc.type電子教課書
dc.classification自然科學類
Theme:教科書-自然科學類

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