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Conference Paper: Solving the bus network design problem for the suburban area in Hong Kong by a hybrid genetic algorithm
| Title | Solving the bus network design problem for the suburban area in Hong Kong by a hybrid genetic algorithm |
|---|---|
| Authors | |
| Issue Date | 2010 |
| Citation | The 24th European Conference on Operational Research (EURO 24), Lisbon, Portual, 11-14 July 2010. How to Cite? |
| Abstract | This paper proposes a hybrid genetic algorithm to solve the bus network design problem for the suburban area in Hong Kong with the objective of improving the number of transfers and total travel time of passengers. In the proposed algorithm, a genetic algorithm is used to tackle the route design problem and a neighborhood search heuristic is used to tackle the frequency setting problem. A new representation scheme and specific genetic operators are also developed. The proposed method reduces the number of transfers and total travel time by 20.6% and 7.0%, respectively. |
| Description | Session TC04: Industrial and city problems - Stream: Metaheuristics - Invited session no. 4 |
| Persistent Identifier | http://hdl.handle.net/10722/136205 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Szeto, WY | en_US |
| dc.contributor.author | Wu, YZ | en_US |
| dc.contributor.author | Wong, SC | en_US |
| dc.date.accessioned | 2011-07-27T02:04:41Z | - |
| dc.date.available | 2011-07-27T02:04:41Z | - |
| dc.date.issued | 2010 | en_US |
| dc.identifier.citation | The 24th European Conference on Operational Research (EURO 24), Lisbon, Portual, 11-14 July 2010. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10722/136205 | - |
| dc.description | Session TC04: Industrial and city problems - Stream: Metaheuristics - Invited session no. 4 | - |
| dc.description.abstract | This paper proposes a hybrid genetic algorithm to solve the bus network design problem for the suburban area in Hong Kong with the objective of improving the number of transfers and total travel time of passengers. In the proposed algorithm, a genetic algorithm is used to tackle the route design problem and a neighborhood search heuristic is used to tackle the frequency setting problem. A new representation scheme and specific genetic operators are also developed. The proposed method reduces the number of transfers and total travel time by 20.6% and 7.0%, respectively. | - |
| dc.language | eng | en_US |
| dc.relation.ispartof | EURO 24 - Lisbon 2010 | en_US |
| dc.title | Solving the bus network design problem for the suburban area in Hong Kong by a hybrid genetic algorithm | en_US |
| dc.type | Conference_Paper | en_US |
| dc.identifier.email | Szeto, WY: ceszeto@hku.hk | en_US |
| dc.identifier.email | Wong, SC: hhecwsc@hkucc.hku.hk | en_US |
| dc.identifier.authority | Szeto, WY=rp01377 | en_US |
| dc.identifier.authority | Wong, SC=rp00191 | en_US |
| dc.identifier.hkuros | 187912 | en_US |
| dc.description.other | The 24th European Conference on Operational Research (EURO 24), Lisbon, Portual, 11-14 July 2010. | - |