The phenotype space automatic extraction method for interactive Genetic Algorithms
نویسندگان
چکیده
منابع مشابه
Automatic facial feature extraction by genetic algorithms
An automatic facial feature extraction algorithm is presented. The algorithm is composed of two main stages: the face region estimation stage and the feature extraction stage. In the face region estimation stage, a second-chance region growing method is adopted to estimate the face region of a target image. In the feature extraction stage, genetic search algorithms are applied to extract the fa...
متن کاملExploring the sound-space of synthesis algorithms using interactive genetic algorithms
Exploring the sounds available from a synthesis algorithm is a complicated process, requiring the user either to spend much time gaining heuristic experience with the algorithm or requiring them to have a deep knowledge of the underlying synthesis algorithms. In this paper we describe a computer system which facilitates a more exploratory approach to sound design, allowing the user to work at t...
متن کاملObject-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملInteractive Genetic Algorithms for User Interface Layouts
We attack the problem of user fatigue in using an interactive genetic algorithm to evolve user interfaces in the XUL interface definition language. The interactive genetic algorithm combines computable user interface design metrics with subjective user input to guide evolution. Individuals in our population represent interface specifications and we compute an individual’s fitness from a weighte...
متن کاملSearch space boundary extension method in real-coded genetic algorithms
In real-coded genetic algorithms, some crossover operators do not work well on functions which have their optimum at the corner of the search space. To cope with this problem, we have proposed a boundary extension methods which allows individuals to be located within a limited space beyond the boundary of the search space. In this paper, we give an analysis of the boundary extension methods fro...
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 Japan Society for Fuzzy Theory and Intelligent Informatics
سال: 2010
ISSN: 1881-7203,1347-7986
DOI: 10.3156/jsoft.22.720