نتایج جستجو برای: weighted sum model
تعداد نتایج: 2237602 فیلتر نتایج به سال:
<span>A wireless sensor network (WSN) composed by a large number of nodes that are insufficient in terms processing power, storage and energy. The principal tasks is gathering transmitting data collected to the base station (BS). Consequently major essential criteria for designing WSN lifetime. In this paper an efficient GAF routing protocol gathered introduced. It proposes energy-efficie...
this paper investigates the problem of just-in-time permutation flow shop scheduling with limited buffers and linear job deterioration in an uncertain environment. the fuzzy set theory is applied to describe this situation. a novel mixed-integer nonlinear program is presented to minimize the weighted sum of fuzzy earliness and tardiness penalties. due to the computational complexities, the prop...
A very useful multi-objective technique is goal programming. There are many methodologies of goal programming such as weighted goal programming, min-max goal programming, and lexicographic goal programming. In this paper, weighted goal programming is reformulated as goal programming with logarithmic deviation variables. Here, a comparison of the proposed method and goal programming with weighte...
The mutualism model, an alternative for the g-factor model of intelligence, implies a formative measurement model in which “g” is an index variable without a causal role. If this model is accurate, the search for a genetic of brain instantiation of “g” is deemed useless. This also implies that the (weighted) sum score of items of an intelligence test is just what it is: a weighted sum score. Pr...
We investigate a model for buffer management of multi-class traffic into a finite shared buffer. A hierarchy of increasingly stronger linear programming relaxations for this model is proposed. The number of hierarchies equals the number of job classes. Each relaxation in the hierarchy is constructed by projecting the original achievable performance region into a polytope with fewer variables an...
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