Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU119727" target="_blank" >RIV/00216305:26220/16:PU119727 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7574016" target="_blank" >https://ieeexplore.ieee.org/document/7574016</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CSNDSP.2016.7574016" target="_blank" >10.1109/CSNDSP.2016.7574016</a>

Result language
angličtina
Original language name
Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City
Original language description
The Internet of Things (IoT), as expected infrastructure for envisioned concept of Smart City, brings new possibilities for the city management. IoT vision introduces promising and economical solutions for massive data collection and its analysis which can be applied in many domains and so make them operating more efficiently. In this paper, we are discussing one of the most challenging issues - municipal waste-collection within the Smart City. To optimize the logistic procedure of waste collection, we use own genetic algorithm implementation. The presented solution provides calculation of more efficient garbage-truck routes. As an output, we provide a set of simulations focused on mentioned area. All our algorithms are implemented within the integrated simulation framework which is developed as an open source solution with respect to future modifications.
Czech name
—
Czech description
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Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016
ISBN
978-1-5090-2525-1
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Prague
Event date
Jul 20, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000386781300120

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