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Furthermore ZOGP approach is used to take into account different objectives of the problem.
The two objectives of the problem are the availability of the system and the total cost of the system.
In engineering design, material alternatives evaluate according to different criteria depending on the objectives of the problem.
The multiple objectives of the problem lead to a vector performance criterion which is reduced to a scalar one by using the concept of Pareto optimality.
In this way, agreement can be reached on the higher-order and lower-order objectives of the problem by including all the concerns that members have expressed.
This simplex-like shape of Pareto front also causes an unusual property that any subset of all objectives of the problem can reach optimality [17, 19].
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Based on the objective of the problem, in the present study, single-point crossover is considered.
The objective of the problem is minimization of mean flow time and mean tardiness.
Based on the objective of the problem, flip bit mutation is considered.
We note, however, that such heuristic approaches do not address the objective of the problem directly.
The objective of the problem is to minimize the total connection cost of the VM placement.
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