نتایج جستجو برای: scheduling models are introduced
تعداد نتایج: 5596718 فیلتر نتایج به سال:
The advent of multiand many-core processors offers enormous performance potential for parallel tasks that exhibit sufficient intra-task thread-level parallelism. With a growth of novel parallel programming models (e.g., OpenMP, MapReduce), scheduling parallel tasks in the real-time context has received an increasing attention in the recent past. While most studies focused on schedulability anal...
The control of batch processes poses difficult issues as these processes are neither continuous nor discrete, but have the characteristics of both. ISA society introduced a multi-part S88 standard where the first part [1] defines the models and terminology for batch plants and control systems. S88 provides a framework for the development of technologies that not only support control activities ...
Fuel consumption is one of the main contemporary issues in transportation sector. Because the fuel is subsidized in Iran, reducing fuel consumption has benefits for both the government and private sector. One of the most important areas of fuel consumption is the industry scope. In this area, reducing fuel consumption has important benefits such as reducing the total costs of finished products ...
selection of an appropriate set of information system (is) projects is a critical business activity which is very helpful to all organizations. in this paper, after describing real is project selection problem of iran ministry of commerce (moc), we introduce two data envelopment analysis (dea) models. then, we show applicability of introduced models for identifying most efficient is project fro...
In this paper we consider the solution methods for mixed-integer linear fractional programming (MILFP) models, which arise in cyclic process scheduling problems. We first discuss convexity properties of MILFP problems, and then investigate the capability of solving MILFP problems with MINLP methods. Dinkelbach's algorithm is introduced as an efficient method for solving large scale MILFP proble...
In the one-machine scheduling problems analysed in this paper, the processing time of a job depends on the time at which the job is started. More precisely, the horizon is divided into time windows and with each one a coe cient is associated that is used to determine the actual processing time of a job starting in it. Two models are introduced, and one of them has direct connections with models...
in this study a simple and general chemical association theory is introduced. the concept of infinite equilibrium model is re-examined and true mole fractions of associated species are calculated. the theory is applied to derive the distribution function of associated species. as a severe test the application of presented theory to the van der waals mixture model is introduced in order to perfo...
Grid scheduling, that is, the allocation of distributed computational resources to user applications, is one of the most challenging and complex task in Grid computing. The problem of allocating resources in Grid scheduling requires the definition of a model that allows local and external schedulers to communicate in order to achieve an efficient management of the resources themselves. To this ...
Traditional data envelopment analysis (DEA) models deal with measurement of relative efficiency of decision making units (DMUs) in which multiple-inputs consumed to produce multiple-outputs. One of the drawbacks of these models is neglecting internal processes of each system, which may have intermediate products and/or independent inputs and/or outputs. In this paper some methods which are usab...
Conditional morphology is a nonlinear method for simultaneous edge detection and image smoothing. It is derived by defining statistical models for the input-output relation as in statistical morphology, with the introduction of a line process taking into account the discontinuities between different regions of the image. It results to be a method presenting the advantages of both morphological ...
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