Title :
Enhancing transposition performance
Author :
Simões, Anabela Borges ; Costa, Ernesto
Author_Institution :
Centre for Inf. & Syst., Coimbra Univ., Portugal
Abstract :
Transposition is a new genetic operator alternative to crossover and allows a classical GA to achieve better results. This mechanism characterized by the presence of mobile genetic units must be used with the right parameters to enable maximum performance to the GA. The paper presents the results of an empirical study which offers the main guidelines to choose the proper setting of parameters to use with transposition, which will lead the GA to the best solutions
Keywords :
genetic algorithms; search problems; classical GA; crossover; genetic operator; maximum performance; mobile genetic units; transposition performance; Biological materials; Biological processes; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetic mutations; Guidelines; Informatics; Microorganisms; Mobile robots;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.782651
