Automated design of vehicle silhouettes using genetic algorithms and statistical analysis
نویسندگان
چکیده
منابع مشابه
The Multidisciplinary Design Optimization of a Reentry Vehicle Using Parallel Genetic Algorithms
The purpose of this paper is to examine the multidisciplinary design optimization (MDO) of a reentry vehicle. In this paper, optimization of a RV based on, minimization of heat flux integral and minimization of axial force coefficient integral and maximization of static margin integral along reentry trajectory is carried out. The classic optimization methods are not applicable here due to the c...
متن کاملAutomated Photogrammetric Network Design Using Genetic Algorithms
This work describes the use of genetic algorithms for automating the photogrammetric network design process. When planning a photogrammetric network, the cameras should be placed in order to satisfjr a set of interrelated and competing constraints. Furthermore, when the object is threedimensional, a combinatorial problem occurs. Genetic algorithms are stochastic optimization techniques, which h...
متن کاملEconomic Design of T2 −V SSC Chart Using Genetic Algorithms
The principal function of a control chart is to help management distinguish different sources of variation in a process. Control charts are widely used as a graphical tool to monitor a process in order to improve the quality of the product. Chen and Hsieh (2007) have designed a T2 control chart using a Variable Sampling Size and Control limits (V SSC) scheme. They have shown that using the V SSC...
متن کاملAutomated Design of Wastewater Collection Systems Using Genetic Algorithms
The size, shape and slope of pipes are major components of the overall cost of wastewater collection systems. In the past, designers have used charts and specialized rules to determine the size, slopes and materials when designing wastewater collection networks. However, genetic algorithms (GA) provide powerful technique for automating the design and minimizing the construction costs of wastewa...
متن کاملDesign of Statistical Quality Control Procedures Using Genetic Algorithms
In general, we can not use algebraic or enumerative methods to optimize a quality control (QC) procedure so as to detect the critical random and systematic analytical errors with stated probabilities, while the probability for false rejection is minimum. Genetic algorithms (GAs) offer an alternative, as they do not require knowledge of the objective function to be optimized and search through l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Middle European Construction and Design of Cars
سال: 2011
ISSN: 1804-9338,1214-0821
DOI: 10.2478/v10138-011-0012-2