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The objective is to minimize the maximum completion time.
The objective is to minimize the makespan, i.e. the maximum completion time of the jobs.
In this paper, a self-guided differential evolution with neighborhood search (NS-SGDE) is presented for the PFSSP with the objectives of minimizing the maximum completion time.
In such a paper, we address the Distributed Permutation Flowshop Scheduling Problem (DPFSP) with an artificial chemical reaction metaheuristic which objective is to minimize the maximum completion time.
Three minimization objectives – the maximum completion time (makespan), the total workload of machines and the workload of the critical machine are considered simultaneously.
We provide a mathematical model for the problem and present an improved migrating birds optimization (IMMBO) to minimize the maximum completion time or makespan.
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We conclude that the Small Median Large layout coupled with Shortest Processing Time (SPT) sequencing rule yield the best design with respect to both the maximum job completion time (makespan) and the total (average) job completion time criteria.
This paper deals with maximum entropy completion of partially specified block-circulant matrices.
The maximum entropy completion problem for block-circulant matrices has recently been solved by the authors, although leaving open the problem of an efficient computation of the solution.
The autonomic level [2] of an AC refers to the maximum allowed completion level in the current iteration of its control loop.
In the present paper it is shown that this new proposals allow to realise schedules resulting close to the global optimum results if the performance measure is the minimum of maximums of completion time.
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CEO of Professional Science Editing for Scientists @ prosciediting.com