On Generating HTML Style Sheets with an Interactive Genetic Algorithm Based on Gene Frequencies
AE '99 Selected Papers from the 4th European Conference on Artificial Evolution
A Novel Hierarchical Approach to Image Retrieval Using Color and Spatial Information
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Efficient indexing and retrieval of colour image data using a vector-based approach
Efficient indexing and retrieval of colour image data using a vector-based approach
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
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Advances in the Web have eventually arrived at the new concept of 'Web 2.0' and the Blog is a representing service of Web 2.0. Despite the dramatic increase of the Blog users and distinctive characteristics of them, the classical processes of blog creation have difficulties in taking user's preference into account without knowledge about Web programming. Thus, we developed an automated blog design generation system through a population-based artificial immune algorithm. In the algorithm, a user's requirements and a blog design correspond to, respectively, an antigen and an antibody of vertebrate immune system. A slicing tree layout and the HSV color space model are used to represent a blog design as a string format of an antibody. Design quality quantification rules of a blog design and a distance measure between two different blog designs are devised to compose an affinity function. The system shows ability to provide new blogs to the user quickly and easily considering user's preferences with good algorithmic performance when it compared with conventional genetic algorithms.