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Innovative Crossover and Mutation in a Genetic Algorithm Based Approach to a Campus Bus Driver Scheduling Problem with Break Consideration and Embedded Overtime |
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PP: 1921-1928 |
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Author(s) |
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Razamin Ramli,
Haslinda Ibrahim,
Lim Tze Shung,
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Abstract |
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| The unfairness of job distribution and the ineffectiveness of break-time assignment among bus drivers are factors identified
as problem issues in the bus driver management in a university campus environment. The issues affect the quality of the bus service
which then pointed to the efficiency or inefficiency of the bus driver scheduling system. Thus, this study investigates the problem and
constraints connected to bus driver scheduling activities as a case in a campus environment. Therefore, we developed an efficient bus
driver scheduling model based on the Genetic Algorithm (GA) approach. The GA model is able to schedule efficiently bus drivers to
working slots and break in a particular day. It is thus, a time-saving effort and able to satisfy equal break distribution among drivers
with overtime work being considered at the same time. |
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