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In both cases, the total completion time is significantly reduced.
The optimization criterion considered is the minimization of the total completion time or makespan (Cmax).
The performance measures considered include makespan, total completion time, and total weighted completion time.
They proposed a polynomial time approximation scheme (PTAS) to minimize the total completion time.
We then show that the makespan and the total completion time problems remain polynomially solvable under the proposed model.
We study the problem of minimizing total completion time in the two-machine flow shop with exact delay model.
Similar(8)
Tasks are then allocated to actors according to their measured capabilities in such a way to reduce the total completion times of all tasks in the network.
Minimization of total completion times, tardiness costs, number of tardi jobs, makespan, etc. are instances of these objectives.
We computed the total completion times and average processor utilization according to the number of tasks, the sizes of window and number of generation cycles.
Naderi et al. (2011) considered an open shop with a set of parallel machines at each stage to minimize the total completion times.
For the instantiation request scheduling algorithm, we compute the total completion times and average processors utilization in order to compare the resource usage efficiency of the proposed fitness function with those analyzed in [6] (dynamic and random algorithms).
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