Title :
Shape representation and evolutionary algorithms
Author :
Nettleton, D.J. ; Garigliano, R.
Author_Institution :
Dept. of Comput. Sci., Durham Univ., UK
Abstract :
The shape generated by an iterated function system is known as the attractor and there are several algorithms which can be used to generate them. Evolutionary algorithms such as genetic algorithms (GAs) and evolutionary programming (EP) have been successfully applied to problems with large and complex search spaces. This paper presents some of the results achieved when a GA and EP are applied to several inverse problems
Keywords :
genetic algorithms; image representation; inverse problems; iterative methods; search problems; attractor; complex search spaces; evolutionary algorithms; evolutionary programming; genetic algorithms; inverse problems; iterated function system; shape representation;
Conference_Titel :
Genetic Algorithms in Image Processing and Vision, IEE Colloquium on
Conference_Location :
London