Dynamic System Modeling of Evolutionary Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00237814" target="_blank" >RIV/68407700:21230/15:00237814 - isvavai.cz</a>
Result on the web
<a href="http://www.sigapp.org/acr/Issues/V15.4/ACR%2015-4.pdf" target="_blank" >http://www.sigapp.org/acr/Issues/V15.4/ACR%2015-4.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2893706.2893708" target="_blank" >10.1145/2893706.2893708</a>
Alternative languages
Result language
angličtina
Original language name
Dynamic System Modeling of Evolutionary Algorithms
Original language description
Evolutionary algorithms are population-based, metaheuristic, black-box optimization techniques from the wider family of evolutionary computation. Optimization algorithms within this family are often based on similar principles and routines inspired by biological evolution. Due to their robustness, the scope of their application is broad and varies from physical engineering to software design problems. Despite sharing similar principles based in common biological inspiration, these algorithms themselvesare typically viewed as black-box program routines by the end user, without a deeper insight into the underlying optimization process. We believe that shedding some light into the underlying routines of evolutionary computation algorithms can make them more accessible to wider engineering public. In this paper, we formulate the evolutionary optimization process as a dynamic system simulation, and provide means to prototype evolutionary optimization routines in a visually comprehensible f
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ACM SIGAPP Applied Computing Review
ISSN
1559-6915
e-ISSN
—
Volume of the periodical
15
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
19-30
UT code for WoS article
—
EID of the result in the Scopus database
—