Title :
Hybrid approaches to mutation in genetic search algorithms
Author :
Draskovic, Drazen ; Milutinovic, Veljko
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Belgrade, Belgrade, Serbia
Abstract :
Genetic algorithms for Internet search have been classified in a recent paper of the same authors, as indicated in the reference section of this paper. The proposed new classification was based on a survey of the open literature and recognizes four basic approaches. This paper analyses these four approaches, and discusses their potentials, especially in the domain of hybridization, i.e., in the domain of generation of new hybrid approaches that take the best of one or more of the existing approaches. Two different hybrid approaches are described and their performance potentials are discussed in a way that opens up new avenues for future research.
Keywords :
Internet; genetic algorithms; genetic search algorithms; hybrid approaches; hybridization; internet search; Classification algorithms; Educational institutions; Electronic publishing; Encyclopedias; Genetic algorithms; Internet; genetic algorithms; hybrid algorithms;
Conference_Titel :
Intelligent Systems (IS), 2012 6th IEEE International Conference
Conference_Location :
Sofia
Print_ISBN :
978-1-4673-2276-8
DOI :
10.1109/IS.2012.6335157