نتایج جستجو برای: location genetic algorithms monte carlo simulation
تعداد نتایج: 1641746 فیلتر نتایج به سال:
Monte Carlo integration has been a common approach for light transport simulation over many years. This widespread usage, however, seems to come with certain misconceptions regarding the behavior of error in Monte Carlo algorithms. In particular, unbiased Monte Carlo integration has been blindly (and often implicitly) considered as a holy grail of accurate light transport simulation by some peo...
Methods for solving stochastic optimization problems by Monte-Carlo simulation are considered. The stoping and accuracy of the solutions is treated in a statistical manner, testing the hypothesis of optimality according to statistical criteria. A rule for adjusting the Monte-Carlo sample size is introduced to ensure the convergence and to find the solution of the stochastic optimization problem...
The applicability of a massively parallel processing (MPP) paradigm to the simulation of charge transport in semiconductor devices through the Monte Carlo method is investigated. A unique mapping of Monte Carlo simulation to a data-parallel software model has been developed in which the problem is decoupled into multiple computational domains, thereby increasing the locality of computation. The...
تعیین مکان و اندازه بهینه منابع تولید پراکنده (dgs) در سیستم های توزیع برای کسب ماکزیمم منافع بالقوه با اهمیت می باشد. در این پایان نامه یک طراحی چند هدفه برای تعیین مکان و اندازه منابع dg در شبکه های توزیع موجود مبتنی بر روش ipso-monte carlo ارائه شده است. اهداف شامل مینیمم کردن تلفات اکتیو و راکتیو، بهبود پروفایل ولتاژ و بهبود قابلیت اطمینان سیستم های توزیع می باشد. تکنیک بکار رفته مبتنی بر ا...
One of the most challenging issues in multi-objective problems is finding Pareto optimal points. This paper describes an algorithm based on Benders Decomposition Algorithm (BDA) which tries to find Pareto solutions. For this aim, a multi-objective facility location allocation model is proposed. In this case, an integrated BDA and epsilon constraint method are proposed and it is shown that how P...
Background and Objective: The aim of this study was to assess the sensitivity and uncertainty analysis of a mass balance model to estimate the rate of aerobic processes in a landfill. Materials and Methods: Monte Carlo simulation is a common method to evaluate uncertainty of the results of a model. Here, we used a Monte Carlo (MC) simulation. The data obtained from the experiments were used as...
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