Login New user?  
01-Applied Mathematics & Information Sciences
An International Journal


Volumes > Volume 7 > No. 5


Innovative Crossover and Mutation in a Genetic Algorithm Based Approach to a Campus Bus Driver Scheduling Problem with Break Consideration and Embedded Overtime

PP: 1921-1928
Razamin Ramli, Haslinda Ibrahim, Lim Tze Shung,
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.

  Home   About us   News   Journals   Conferences Contact us Copyright naturalspublishing.com. All Rights Reserved