Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Multi-disciplinary Studies | en_US |
| dc.creator | Kan, Yuk-man | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/1520 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Developing an allocation algorithm for seats allocation with multiple objectives | en_US |
| dcterms.abstract | In this research paper, a seat allocation problem with specific objectives is studied. A number of bookings are received with priority defined and the seats of a specific floor plan are then allocated to the bookings meeting certain defined objectives. The task is then to find a feasible combination of seatings allocation that maximize the objective function defined. A methodology utilizing heuristics approach have been developed trying to obtain a high enough value of the objective function. The problem is defined into two phases with the first phase focusing on the utilization and the second phase on combination of bookings priority and seats weightings. Two set of complementary heuristic rules are specially designed respectively to solve the problem in two phases. The algorithm is tested with 4 sets of data, the results are encouraging where the final solutions are obtained with objective values very close to the upper bound calculated. | en_US |
| dcterms.extent | ii, 64 leaves ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 1996 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Reservation systems -- Mathematical models | en_US |
| dcterms.LCSH | Algorithms | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b12350849.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.69 MB | Adobe PDF | View/Open |
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