ZnO thin films were deposited on Si(400) substrates by e-beam evaporation technique, and then post-annealed at different annealing temperatures (200-800°C). Dependence of the crystallographic structure, nano-strain, chemical composition and surface physical Morphology of these layers on annealing temperature were studied. The crystallographic structure of films was studied using X-Ray Diffracti...

In the present study, the mechanical behavior of AA5052 aluminum alloy during cold deformation and subsequent isothermal annealing in a temperature range of 225-300oC was investigated using the uniaxial tensile test data. It is found that by increasing the annealing time and temperature the material yield strength is decreased. The microstructural investigations of the annealed samples show tha...

مکان‌یابی با درنظرگرفتن موضوع رقابت در بازار، یک تصمیم راهبردی و بلندمدت محسوب می­‌شود. چنانچه انتخاب مکان، بررسی‌­های لازم صورت نگیرد، حیات سازمان تحت تأثیر قرار می‌­گیرد. به‌­دلیل وجود پیچیدگی‌­های موجود مسائل مکان‌یابی، ارائه مدل‌های محدودیت­‌های متنوعی مواجه است. هدف این پژوهش، توسعه مدل رقابتی درنظر­گرفتن دو محصول از سوی سه رقیب است؛ برای منظور، مسئله به‌­صورت بازی مکان ـ قیمت تعریف استفاد...

مراقبت سلامت خانگی، ارائه مجموعه‎‌‌ای از خدمات مراقبتی در منزل پیشگیری تا توان‌بخشی و مراقبت‎‌های اولیه حرفه‌ای پرستاری است. این پژوهش یک مدل ریاضی دو‌هدفه بر اساس رویکرد برنامه‎ریزی خطی عدد صحیح مختلط برای مسئله مسیریابی زمان‌بندی مراقبت‎ خانگی با اهداف حداقل‌سازی هزینه‌های سفر پرستاران حداکثر تفاوت‌های زمان کاری بین شده درنظرگرفتن حالت‎‌های دوگانه حمل‌ونقل عمومی خصوصی، مراکز درمانی آغازین پای...

We propose a variant of the Simulated Annealing method for optimization in the multivariate analysis of diierentiable functions. The method uses the Hybrid Monte Carlo algorithm for the proposal of new conngurations. We show how this choice can improve the performance of simulated annealing methods by allowing much faster annealing schedules.

In this paper a combined use of reinforcement learning and simulated annealing is treated. Most of the simulated annealing methods suggest using heuristic temperature bounds as the basis of annealing. Here a theoretically established approach tailored to reinforcement learning following Softmax action selection policy will be shown. An application example of agent-based routing will also be ill...

Two applications of simulated annealing are shown to optimise discretisation. First, a random but highly uniform pattern is generated using simulated annealing, whereby the average distance between the samples is maximised. In the other example, simulated annealing increases the time resolution of the discrete wind signal using an interpolation procedure that produces subscale speeds with consi...

this study aims to deal with a more realistic combined problem of project scheduling and material ordering. the goal is to minimize the total material holding and ordering costs by determining the starting time of activities along with material ordering schedules subject to some constraints. the problem is first mathematically modelled. then a hybrid simulated annealing and genetic algorithm is...