Analysis of Fitness Function of Genetic Algorithm for Road Traffic Network Division
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43925886" target="_blank" >RIV/49777513:23520/15:43925886 - 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
Analysis of Fitness Function of Genetic Algorithm for Road Traffic Network Division
Original language description
In this paper, the analysis of the fitness function of a genetic algorithm is discussed. This genetic algorithm is used by a method for the road traffic network division. The division of the road traffic network into a number of sub-networks is a part ofnecessary preparations for a distributed road traffic simulation. The fitness function consists of two parts reflecting two important issues of the road traffic network division - the load-balancing of the resulting sub-networks and the minimization ofthe number of divided traffic lanes. During the optimization and refactoring of the division method, it was discovered that the fitness function of the genetic algorithm is flawed, but gives better results than a new (repaired) fitness function. Hence, the working of the original fitness function was analyzed and the new fitness function was adjusted to give similar or better results than the original fitness function.
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
USB Proceedings 2015 8th International Conference on Human System Interaction (HSI)
ISBN
978-1-4673-6935-0
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
40-46
Publisher name
IEEE
Place of publication
Piscataway
Event location
Varšava
Event date
Jun 25, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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