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首页> 外文会议>2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing >Desktop computer specification support system using simulated annealing
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Desktop computer specification support system using simulated annealing

机译：使用模拟退火的台式计算机规格支持系统

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Until now the desktop computer is still very popular because it is relatively easy to upgrade and cheap compared to the performance obtained. When building a desktop computer, the specification must be adjusted to how the computer will be used to get optimum performance. For each specification, the selection of the right components is the key to get the desired performance. There are many choices of components that can meet almost all the needs of personal computing. However, choosing the right components is not an easy task for some people especially for those with a limited budget. Based on these problems, we propose a system to help find the optimum desktop computer specification from various components available. To build the specification, we pair a bunch of computer components with certain rules and determine the performance value. We used simulated annealing algorithm to find the optimum specification from many specifications that arise. To make this algorithm able to solve this problem, there is some point that needs to be modified. First, the system searches the greatest energy. Second, the solution modification process needs to fit certain compatibility rules. From the user perspective, the system only receives input in the form of computer usage category and budget. Based on the test that has been done with the expert, the system with simulated annealing algorithm gives a good result with an accuracy of 75.1%.
机译：到目前为止，台式计算机仍然很受欢迎，因为与获得的性能相比，它相对容易升级且价格便宜。在构建台式计算机时，必须调整规格以适应如何使用计算机以获得最佳性能。对于每种规格，选择正确的组件是获得所需性能的关键。有很多组件可以满足个人计算的几乎所有需求。但是，对于某些人来说，尤其是对于预算有限的人来说，选择正确的组件并非易事。基于这些问题，我们提出一种系统，以帮助从各种可用组件中找到最佳的台式计算机规格。为了建立规范，我们将一堆计算机组件与某些规则配对，并确定性能值。我们使用模拟退火算法从出现的许多规格中找到最佳规格。为了使该算法能够解决此问题，有一些地方需要修改。首先，系统搜索最大的能量。其次，解决方案修改过程需要符合某些兼容性规则。从用户角度来看，系统仅以计算机使用类别和预算的形式接收输入。根据专家的测试，采用模拟退火算法的系统给出了很好的结果，准确度为75.1％。

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