Genetic Algorithms and Genome Energy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F09%3A00159927" target="_blank" >RIV/68407700:21260/09:00159927 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21260/09:00171992
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Genetic Algorithms and Genome Energy
Original language description
The paper deals with the application of genetic and evolutionary algorithms behaviours and features analysis from the viewpoint of mechanics and especially energy. The paper analyses differences between implementations of three basic operators - mutation, crossover and intelligent crossover. Two different energies are recognised - potential and kinetic. Potential one is equal to fitness function in the case of maxima search and distance to maxima in the case of minima search. Kinetic energy is calculated from the movement the state space, speed on the base of jump length.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
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
Article name in the collection
MENDEL 2009 - 15th International Conference on Soft Computing
ISBN
978-80-214-3884-2
ISSN
1803-3814
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 24, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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