1992 年 16 巻 19 号 p. 1-6
Genetic Algorithms (GA) are known as powerful algorithms for searching, optimizing and for a lot of applications in the field of computer science. This paper describes applications of GA to reseaches especially concerned with images, i.e., pattern recognition of images, image processing and so on. Basic principles of GA are introduced briefly, and then, three researches are explained; a pattern matching of two dimensional shapes using GA, extraction of straight lines from noisy binary images by GA and evolution of neural networks utilizing GA.