Hybrid Firefly Algorithm for Optimizing the Garbage Transport Route

Amalia Utamima; Riki Indramawan

doi:10.1109/3ICT60104.2023.10391780

Hybrid Firefly Algorithm for Optimizing the Garbage Transport Route

Amalia Utamima^*
, Riki Indramawan

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

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

4 Citations (Scopus)

Abstract

The increasing global issue of garbage production poses significant environmental and human health risks. Banyuwangi City, Indonesia, faces a substantial garbage production. The collection and transportation stages in garbage management incur high costs, accounting for 40 to 60 percent of total garbage management expenses. Inadequate consideration of distance saving in garbage collection and transportation routes by the Environmental Agency of Banyuwangi leads to inefficiencies in the process. To address these challenges, this research proposes using the Hybrid Firefly Algorithm (HFA), a combination of the Firefly Algorithm and Adaptive Iterated Local Search, to optimize garbage transportation routes for resource efficiency. The HFA-generated route is compared with those determined by the Genetic Algorithm and the Environmental Agency. The findings indicate that the suggested method surpasses both the Genetic Algorithm and the route specified by the agency. This research offers a superior and more efficient strategy for garbage transportation in Banyuwangi City.

Original language	English
Title of host publication	2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	204-208
Number of pages	5
ISBN (Electronic)	9798350307771
DOIs	https://doi.org/10.1109/3ICT60104.2023.10391780
Publication status	Published - 2023
Event	2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023 - Virtual, Online, Bahrain Duration: 20 Nov 2023 → 21 Nov 2023

Publication series

Name	2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023

Conference

Conference	2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023
Country/Territory	Bahrain
City	Virtual, Online
Period	20/11/23 → 21/11/23

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 8 Decent Work and Economic Growth
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

Keywords

Garbage collection
Hybrid Firefly Algorithm
Resource Efficiency
Route optimization

Access to Document

10.1109/3ICT60104.2023.10391780

Cite this

Utamima, A., & Indramawan, R. (2023). Hybrid Firefly Algorithm for Optimizing the Garbage Transport Route. In 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023 (pp. 204-208). (2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/3ICT60104.2023.10391780

Utamima, Amalia ; Indramawan, Riki. / Hybrid Firefly Algorithm for Optimizing the Garbage Transport Route. 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 204-208 (2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023).

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title = "Hybrid Firefly Algorithm for Optimizing the Garbage Transport Route",

abstract = "The increasing global issue of garbage production poses significant environmental and human health risks. Banyuwangi City, Indonesia, faces a substantial garbage production. The collection and transportation stages in garbage management incur high costs, accounting for 40 to 60 percent of total garbage management expenses. Inadequate consideration of distance saving in garbage collection and transportation routes by the Environmental Agency of Banyuwangi leads to inefficiencies in the process. To address these challenges, this research proposes using the Hybrid Firefly Algorithm (HFA), a combination of the Firefly Algorithm and Adaptive Iterated Local Search, to optimize garbage transportation routes for resource efficiency. The HFA-generated route is compared with those determined by the Genetic Algorithm and the Environmental Agency. The findings indicate that the suggested method surpasses both the Genetic Algorithm and the route specified by the agency. This research offers a superior and more efficient strategy for garbage transportation in Banyuwangi City.",

keywords = "Garbage collection, Hybrid Firefly Algorithm, Resource Efficiency, Route optimization",

author = "Amalia Utamima and Riki Indramawan",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023 ; Conference date: 20-11-2023 Through 21-11-2023",

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Utamima, A & Indramawan, R 2023, Hybrid Firefly Algorithm for Optimizing the Garbage Transport Route. in 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023. 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023, Institute of Electrical and Electronics Engineers Inc., pp. 204-208, 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023, Virtual, Online, Bahrain, 20/11/23. https://doi.org/10.1109/3ICT60104.2023.10391780

Hybrid Firefly Algorithm for Optimizing the Garbage Transport Route. / Utamima, Amalia; Indramawan, Riki.
2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 204-208 (2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023).

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

TY - GEN

T1 - Hybrid Firefly Algorithm for Optimizing the Garbage Transport Route

AU - Utamima, Amalia

AU - Indramawan, Riki

PY - 2023

Y1 - 2023

N2 - The increasing global issue of garbage production poses significant environmental and human health risks. Banyuwangi City, Indonesia, faces a substantial garbage production. The collection and transportation stages in garbage management incur high costs, accounting for 40 to 60 percent of total garbage management expenses. Inadequate consideration of distance saving in garbage collection and transportation routes by the Environmental Agency of Banyuwangi leads to inefficiencies in the process. To address these challenges, this research proposes using the Hybrid Firefly Algorithm (HFA), a combination of the Firefly Algorithm and Adaptive Iterated Local Search, to optimize garbage transportation routes for resource efficiency. The HFA-generated route is compared with those determined by the Genetic Algorithm and the Environmental Agency. The findings indicate that the suggested method surpasses both the Genetic Algorithm and the route specified by the agency. This research offers a superior and more efficient strategy for garbage transportation in Banyuwangi City.

AB - The increasing global issue of garbage production poses significant environmental and human health risks. Banyuwangi City, Indonesia, faces a substantial garbage production. The collection and transportation stages in garbage management incur high costs, accounting for 40 to 60 percent of total garbage management expenses. Inadequate consideration of distance saving in garbage collection and transportation routes by the Environmental Agency of Banyuwangi leads to inefficiencies in the process. To address these challenges, this research proposes using the Hybrid Firefly Algorithm (HFA), a combination of the Firefly Algorithm and Adaptive Iterated Local Search, to optimize garbage transportation routes for resource efficiency. The HFA-generated route is compared with those determined by the Genetic Algorithm and the Environmental Agency. The findings indicate that the suggested method surpasses both the Genetic Algorithm and the route specified by the agency. This research offers a superior and more efficient strategy for garbage transportation in Banyuwangi City.

KW - Garbage collection

KW - Hybrid Firefly Algorithm

KW - Resource Efficiency

KW - Route optimization

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M3 - Conference contribution

AN - SCOPUS:85184662836

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EP - 208

BT - 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 20 November 2023 through 21 November 2023

ER -

Utamima A, Indramawan R. Hybrid Firefly Algorithm for Optimizing the Garbage Transport Route. In 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 204-208. (2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023). doi: 10.1109/3ICT60104.2023.10391780

Hybrid Firefly Algorithm for Optimizing the Garbage Transport Route

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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