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Inspired by nature = essays presente...

Stepney, Susan.

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Inspired by nature = essays presented to Julian F. Miller on the occasion of his 60th birthday /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Inspired by nature/ edited by Susan Stepney, Andrew Adamatzky.
其他題名:	essays presented to Julian F. Miller on the occasion of his 60th birthday /
其他作者:	Stepney, Susan.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	x, 387 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Genetic programming (Computer science) -
電子資源:	http://dx.doi.org/10.1007/978-3-319-67997-6
ISBN:	9783319679976

Inspired by nature = essays presented to Julian F. Miller on the occasion of his 60th birthday /
Inspired by natureessays presented to Julian F. Miller on the occasion of his 60th birthday /[electronic resource] :edited by Susan Stepney, Andrew Adamatzky. - Cham :Springer International Publishing :2018. - x, 387 p. :ill., digital ;24 cm. - Emergence, complexity and computation,v.282194-7287 ;. - Emergence, complexity and computation ;v.28..

This book is a tribute to Julian Francis Miller's ideas and achievements in computer science, evolutionary algorithms and genetic programming, electronics, unconventional computing, artificial chemistry and theoretical biology. Leading international experts in computing inspired by nature offer their insights into the principles of information processing and optimisation in simulated and experimental living, physical and chemical substrates. Miller invented Cartesian Genetic Programming (CGP) in 1999, from a representation of electronic circuits he devised with Thomson a few years earlier. The book presents a number of CGP's wide applications, including multi-step ahead forecasting, solving artificial neural networks dogma, approximate computing, medical informatics, control engineering, evolvable hardware, and multi-objective evolutionary optimisations. The book addresses in depth the technique of 'Evolution in Materio', a term coined by Miller and Downing, using a range of examples of experimental prototypes of computing in disordered ensembles of graphene nanotubes, slime mould, plants, and reaction diffusion chemical systems. Advances in sub-symbolic artificial chemistries, artificial bio-inspired development, code evolution with genetic programming, and using Reed-Muller expansions in the synthesis of Boolean quantum circuits add a unique flavour to the content. The book is a pleasure to explore for readers from all walks of life, from undergraduate students to university professors, from mathematicians, computer scientists and engineers to chemists and biologists.

ISBN: 9783319679976

Standard No.: 10.1007/978-3-319-67997-6doiSubjects--Topical Terms:

572479
Genetic programming (Computer science)

LC Class. No.: QA76.623

Dewey Class. No.: 006.31

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