Exact(1)
This paper presents a new evolutionary criterion for the problems of variable thickness design whilst minimizing the maximum stress in a structure.
Similar(59)
The solvability criterion for the problem (4.37) has the form (4.38).
Motivated by [20, 21] and [12], we have the main purpose in this paper to prove a blow-up criterion for the problem (1.1), (1.2) and (1.4).
Determination of Cramer-Rao lower bound (CRLB) as an optimality criterion for the problem of localization in wireless sensor networks (WSNs) is a very important issue.
The solvability criterion for the problem (4.29) has the form (in computations below we need a composition of operators and the order of operations is following the inner operator which acts to matrices and vector function having an argument denoted by and the outer operator which acts to matrices having an argument denoted by (4.30).
A natural way to achieve this goal consists of merging the aforementioned values into a simple one by means of an aggregation function in such a way that the obtained numerical value is used to take the desired decision under an appropriate criterion for the problem under consideration (see, for instance, [1]).
We emphasize that a variety of fixed point theorems are used to obtain different existence criteria for the problems at hand.
When these problems are evaluated, it is necessary to collect group opinion because the interdependence relationship among criteria is known and it is very important to consider the criteria for the problem solving and decision-making.
When the scheduler is provided with desired job selection criteria for the problem, it generates user satisfying solution from a set of valid jobs.
Remarks Actually, there exist several potential optimality criteria for the problem at hand, e.g., minimizing the determinant of D, minimizing the maximum eigenvalue of D and the aforementioned Tr(D), etc. [19].
Ronconi [18] analyzed the minimization of the makespan criterion for the flowshop problem with blocking by proposing constructive heuristics, namely MM, MME and PFE.
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