Title :
Reciprocal translocation with adaptive segment length
Author_Institution :
Comput. Eng. Dept., Eastern Mediterranean Univ., Mersin, Turkey
Abstract :
A novel artificial crossover operator based on reciprocal translocation of chromosomal segments is introduced. Positions and lengths of genome segments are determined at random. However, the segment size limits are adaptively changed based on the improvement of average fitness value over generations. The implementation results for difficult problems are very encouraging
Keywords :
genetic algorithms; search problems; chromosomal segment exchange; combinatorial optimization; crossover operator; fitness value; genetic algorithms; genome segments; mutation; objective function; reciprocal translocation operator; Bioinformatics; Biological cells; Biological materials; Footwear; Genetic algorithms; Genetic mutations; Genomics; Microorganisms;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007002
