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Future studies for cash management in single machine scheduling can be focused on integrating the objective function of this paper with the traditional ones via multi objective scheduling approaches.
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Results in two SMS models show that the proposed approach is validated for the real-time multi-objective scheduling problem.
Fard et al. [33] propose a multi-objective scheduling solution and present a case study comprising makespan, cost, energy, and reliability.
The single-objective problems are to minimize the makespan while the multi-objective scheduling problems are to minimize the makespan and the maximum tardiness.
Recently, a wealthy of research works has been dedicated to the design of effective and efficient genetic algorithms in dealing with multi-objective scheduling problems.
For multi-objective scheduling problems, common EMO metrics such as hyper-volume and inverted generational distance can be used to measure the quality of the obtained trade-off heuristics [75, 95].
In order to solve the proposed model and explore the performance of Fruit Fly Optimization Algorithm (FOA) in multi-objective scheduling optimization problems, a Hybrid Fruit fly optimization algorithm (HFOA) is designed.
o o...... o [107] Multi-cloud, cost optimization.. x..... x. [37] Multi-objective, cost constraints.. x..... x. [144] Backtracking and continuous cost evaluation o. x. x.... x [33] Multi-objective scheduling x. x o. x. x. x [12] Pareto-based; execution time and cost x.
A multi-objective task scheduling approach for grid over optical burst switching (GOBS) networks is proposed.
In the literature, the application of multi-objective dynamic scheduling problem and simple priority rules are widely studied.
In this paper, a multi-objective gain scheduling (GS) control is considered for a large reference angle of the arm.
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