Data-mining protein structure by clustering, segmentation and evolutionary algorithms, In: Studies in Computational Intelligence 4
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507997" target="_blank" >RIV/70883521:28140/09:63507997 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Data-mining protein structure by clustering, segmentation and evolutionary algorithms, In: Studies in Computational Intelligence 4
Original language description
Bio-inspired methods which include evolutionary algorithms are currently widely used to solve very difficult problems. Such problems include bioinformatics problems such as the synthesis of protein structures, identifying parts of DNA, etc. This chapterpresents the basic description of evolutionary algorithms and outlining their potential application in bioinformatics.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Studies in Computational Intelligence
ISBN
978-3-642-01087-3
Number of pages of the result
28
Pages from-to
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Number of pages of the book
395
Publisher name
Springer-Verlag Berlin
Place of publication
Heidelberg
UT code for WoS chapter
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