Title :
Optimization of the painting problem by a genetic approach using interval-values
Author :
Zámbó, Lajos ; Nagy, Benedek
Author_Institution :
Fac. of Inf., Univ. of Debrecen, Debrecen, Hungary
Abstract :
Genetic algorithms are frequently used for optimization. In this paper, we solve the Painting problem by using some specific knowledge about the problem itself. We also use interval-values to show that they improve the effectiveness of a genetic algorithm.
Keywords :
fuzzy logic; genetic algorithms; genetic approach; interval-values; painting problem optimization; Biological cells; Color; Genetic algorithms; Genetics; Informatics; Optimization; Painting;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4577-0044-6
DOI :
10.1109/CINTI.2011.6108485
