Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid Algorithm

The multidepot capacitated arc routing problem (CARP) is investigated with the hybrid optimization algorithm of the Dijkstra algorithm and genetic algorithm. The complex multidepot CARP is transformed into multiple single depot CARP by systematic clustering analysis. After completing the system clus...

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Main Author: Liang Wu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2022/1846681
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author Liang Wu
author_facet Liang Wu
author_sort Liang Wu
collection DOAJ
description The multidepot capacitated arc routing problem (CARP) is investigated with the hybrid optimization algorithm of the Dijkstra algorithm and genetic algorithm. The complex multidepot CARP is transformed into multiple single depot CARP by systematic clustering analysis. After completing the system clustering, the Dijkstra algorithm is used to adjust the boundary arc locally and merge it to a reasonable depot, while in the genetic algorithm, the structure of the chromosome is reset to use the path as the way of real coding, and the elite selection is used to decode to obtain the optimal path optimization scheme. Finally, Lanzhou road network data as experimental data, through Matlab to achieve the practicability of the algorithm in sprinkler applications. The results show that the improved genetic algorithm can successfully solve the multi-segment CARP with a certain road network scale, ensuring the correctness and feasibility of the algorithm. In addition, the efficiency of the algorithm in the later iteration is basically controlled at about 0.5 seconds, indicating that the efficiency of the algorithm is worth identifying.
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institution Kabale University
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publishDate 2022-01-01
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series Journal of Advanced Transportation
spelling doaj-art-868e18f333c14aadb268e69215b3e8922025-02-03T01:20:12ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/1846681Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid AlgorithmLiang Wu0School of Traffic and TransportationThe multidepot capacitated arc routing problem (CARP) is investigated with the hybrid optimization algorithm of the Dijkstra algorithm and genetic algorithm. The complex multidepot CARP is transformed into multiple single depot CARP by systematic clustering analysis. After completing the system clustering, the Dijkstra algorithm is used to adjust the boundary arc locally and merge it to a reasonable depot, while in the genetic algorithm, the structure of the chromosome is reset to use the path as the way of real coding, and the elite selection is used to decode to obtain the optimal path optimization scheme. Finally, Lanzhou road network data as experimental data, through Matlab to achieve the practicability of the algorithm in sprinkler applications. The results show that the improved genetic algorithm can successfully solve the multi-segment CARP with a certain road network scale, ensuring the correctness and feasibility of the algorithm. In addition, the efficiency of the algorithm in the later iteration is basically controlled at about 0.5 seconds, indicating that the efficiency of the algorithm is worth identifying.http://dx.doi.org/10.1155/2022/1846681
spellingShingle Liang Wu
Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid Algorithm
Journal of Advanced Transportation
title Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid Algorithm
title_full Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid Algorithm
title_fullStr Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid Algorithm
title_full_unstemmed Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid Algorithm
title_short Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid Algorithm
title_sort multiobjective multidepot capacitated arc routing optimization based on hybrid algorithm
url http://dx.doi.org/10.1155/2022/1846681
work_keys_str_mv AT liangwu multiobjectivemultidepotcapacitatedarcroutingoptimizationbasedonhybridalgorithm