Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City

Radek Fujdiak; Pavel Mask; Petr Mlynek; Jiri Misurec; Ekaterina Olshannikova

doi:10.1109/CSNDSP.2016.7574016

Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City

Radek Fujdiak
, Pavel Mask
, Petr Mlynek
, Jiri Misurec
, Ekaterina Olshannikova

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

64 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Publisher	IEEE
Pages	1-6
ISBN (Print)	978-1-5090-2526-8
DOIs	https://doi.org/10.1109/CSNDSP.2016.7574016
Publication status	Published - 2016
Publication type	A4 Article in conference proceedings
Event	INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING - Duration: 1 Jan 1900 → …

Conference

Conference	INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING
Period	1/01/00 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Publication forum classification

Publication forum level 1

Access to Document

10.1109/CSNDSP.2016.7574016

Cite this

@inproceedings{52af6277ccb24329867569d3b2ef61eb,

title = "Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City",

abstract = "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.",

author = "Radek Fujdiak and Pavel Mask and Petr Mlynek and Jiri Misurec and Ekaterina Olshannikova",

year = "2016",

doi = "10.1109/CSNDSP.2016.7574016",

language = "English",

isbn = "978-1-5090-2526-8",

pages = "1--6",

booktitle = "2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)",

publisher = "IEEE",

address = "United States",

note = "INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING ; Conference date: 01-01-1900",

}

Fujdiak, R, Mask, P, Mlynek, P, Misurec, J & Olshannikova, E 2016, Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City. in 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). IEEE, pp. 1-6, INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING, 1/01/00. https://doi.org/10.1109/CSNDSP.2016.7574016

Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City. / Fujdiak, Radek; Mask, Pavel; Mlynek, Petr et al.
2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). IEEE, 2016. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City

AU - Fujdiak, Radek

AU - Mask, Pavel

AU - Mlynek, Petr

AU - Misurec, Jiri

AU - Olshannikova, Ekaterina

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

U2 - 10.1109/CSNDSP.2016.7574016

DO - 10.1109/CSNDSP.2016.7574016

M3 - Conference contribution

SN - 978-1-5090-2526-8

SP - 1

EP - 6

BT - 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)

PB - IEEE

T2 - INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING

Y2 - 1 January 1900

ER -

Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City

Abstract

Conference

UN SDGs

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Cite this