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Hybrid artificial bee colony algorithm for transit network design

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Hybrid artificial bee colony algorithm for transit network design. / Szeto, W. Y.; Jiang, Yu.
In: Transportation Research Record, No. 2284, 2012, p. 47-56.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Szeto, WY & Jiang, Y 2012, 'Hybrid artificial bee colony algorithm for transit network design', Transportation Research Record, no. 2284, pp. 47-56. https://doi.org/10.3141/2284-06

APA

Szeto, W. Y., & Jiang, Y. (2012). Hybrid artificial bee colony algorithm for transit network design. Transportation Research Record, (2284), 47-56. https://doi.org/10.3141/2284-06

Vancouver

Szeto WY, Jiang Y. Hybrid artificial bee colony algorithm for transit network design. Transportation Research Record. 2012;(2284):47-56. doi: 10.3141/2284-06

Author

Szeto, W. Y. ; Jiang, Yu. / Hybrid artificial bee colony algorithm for transit network design. In: Transportation Research Record. 2012 ; No. 2284. pp. 47-56.

Bibtex

@article{cebf8abb23774e8d98010a360aeb6ba9,
title = "Hybrid artificial bee colony algorithm for transit network design",
abstract = "A hybrid enhanced artificial bee colony algorithm (HEABC) is proposed for solving the problem of bus network design. The algorithm is intended to reduce the weighted sum of the number of transfers and the total travel time of the users through restructured bus routes and new frequencies without increased fleet sizes. The HEABC relies mainly on the enhanced artificial bee colony algorithm to determine the route structure, and the frequency is determined by the frequency-setting heuristic during the fitness evaluation. For an illustration of its performance, the HEABC was compared with a hybrid generic algorithm and a variant of the HEABC. The results indicated that the HEABC could produce better solutions than the other two algorithms could. Moreover, the HEABC could produce a design that was better than the existing design for maximum intermediate stops, total travel time, number of transfers, maximum headway, and total fuel cost. The design should be acceptable to the public and to bus operators.",
keywords = "GENETIC ALGORITHM, PUBLIC-TRANSIT, OPTIMIZATION, COVERAGE",
author = "Szeto, {W. Y.} and Yu Jiang",
year = "2012",
doi = "10.3141/2284-06",
language = "English",
pages = "47--56",
journal = "Transportation Research Record",
issn = "0361-1981",
publisher = "NATL ACAD SCIENCES",
number = "2284",

}

RIS

TY - JOUR

T1 - Hybrid artificial bee colony algorithm for transit network design

AU - Szeto, W. Y.

AU - Jiang, Yu

PY - 2012

Y1 - 2012

N2 - A hybrid enhanced artificial bee colony algorithm (HEABC) is proposed for solving the problem of bus network design. The algorithm is intended to reduce the weighted sum of the number of transfers and the total travel time of the users through restructured bus routes and new frequencies without increased fleet sizes. The HEABC relies mainly on the enhanced artificial bee colony algorithm to determine the route structure, and the frequency is determined by the frequency-setting heuristic during the fitness evaluation. For an illustration of its performance, the HEABC was compared with a hybrid generic algorithm and a variant of the HEABC. The results indicated that the HEABC could produce better solutions than the other two algorithms could. Moreover, the HEABC could produce a design that was better than the existing design for maximum intermediate stops, total travel time, number of transfers, maximum headway, and total fuel cost. The design should be acceptable to the public and to bus operators.

AB - A hybrid enhanced artificial bee colony algorithm (HEABC) is proposed for solving the problem of bus network design. The algorithm is intended to reduce the weighted sum of the number of transfers and the total travel time of the users through restructured bus routes and new frequencies without increased fleet sizes. The HEABC relies mainly on the enhanced artificial bee colony algorithm to determine the route structure, and the frequency is determined by the frequency-setting heuristic during the fitness evaluation. For an illustration of its performance, the HEABC was compared with a hybrid generic algorithm and a variant of the HEABC. The results indicated that the HEABC could produce better solutions than the other two algorithms could. Moreover, the HEABC could produce a design that was better than the existing design for maximum intermediate stops, total travel time, number of transfers, maximum headway, and total fuel cost. The design should be acceptable to the public and to bus operators.

KW - GENETIC ALGORITHM

KW - PUBLIC-TRANSIT

KW - OPTIMIZATION

KW - COVERAGE

U2 - 10.3141/2284-06

DO - 10.3141/2284-06

M3 - Journal article

SP - 47

EP - 56

JO - Transportation Research Record

JF - Transportation Research Record

SN - 0361-1981

IS - 2284

ER -