EXAMPLES OF GENETIC ALGORITHMS USAGE IN GEOMETRY AND ALGORITHMIC DESIGN
نویسندگان
چکیده
منابع مشابه
Geometrie Algorithms and Algorithmic Geometry
In this paper I would like to illustrate two facts. First, that ideas borrowed from convex, projective, and other classical branches of geometry play an important role in the design of algorithms for problems that do not seem to have anything to do with geometry: for problems in optimization, combinatorics, algebra, and number theory. Second, that such applications of geometry suggest some very...
متن کاملphylogeography and genetic diversity of the lesser mouse- eared bat (myotis blythii) in iran
in current study, 63 samples of bat populations collected from differ regions were used for evaluating the geographic variations. twenty cranial and dental characters for traditional morphometric and landmarks method on the ventral, dorsal skull and mandible for geometry morphometric studies were used. statistical analyses of traditional morphometric and geometry morphometric data indicated low...
OPTIMAL SIZE AND GEOMETRY DESIGN OF TRUSS STRUCTURES UTILIZING SEVEN META-HEURISTIC ALGORITHMS: A COMPARATIVE STUDY
Meta-heuristic algorithms are applied in optimization problems in a variety of fields, including engineering, economics, and computer science. In this paper, seven population-based meta-heuristic algorithms are employed for size and geometry optimization of truss structures. These algorithms consist of the Artificial Bee Colony algorithm, Cyclical Parthenogenesis Algorithm, Cuckoo Search algori...
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 کاملNash Genetic Algorithms : examples and applications
This article presents both theoretical aspects and experimental results on Nash Genetic Algorithms. Nash GAs are an alternative for multiple objective optimization as they are an optimization tool based on noncooperative game theory. They are explained in details, along with the advantages conferred by their equilibrium state. This approach is tested on a few benchmark problems, and some compar...
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: Boletim da Aproged #34
سال: 2018
ISSN: 2183-1939
DOI: 10.24840/2184-4933_2018-0034_0004