Title :
Techniques for the visualisation of genetic algorithms
Author_Institution :
Dept. of Comput. Sci., De Monfort Univ., Leicester, UK
Abstract :
Discusses the visualisation of neural networks and genetic algorithms. We propose two techniques which we believe to be of considerable interest. These techniques differ from earlier techniques in that they display analyses of a population rather than simply rendering each chromosome
Keywords :
data visualisation; genetic algorithms; neural nets; optimisation; chromosome; genetic algorithms; neural networks; rendering; visualisation; Acoustical engineering; Artificial intelligence; Computational intelligence; Computer networks; Debugging; Electronic mail; Genetic algorithms; Humans; Neural networks; Visualization;
Conference_Titel :
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1899-4
DOI :
10.1109/ICEC.1994.349944
