DocumentCode
3303653
Title
Mutation buffering capabilities of the hypernetwork model
Author
Segovia-Juárez, José L. ; Colombano, Silvano
Author_Institution
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
fYear
2001
fDate
2001
Firstpage
7
Lastpage
13
Abstract
The hypernetwork is a molecular interaction-based model that has learning capabilities. The adaptive algorithm randomly changes the molecular structures and selects the best individual. Experiments with the hypernetwork show the importance for evolution of the mutation buffering capabilities of the system. Mutation buffering allows the system to improve its search for peaks in the fitness landscape
Keywords
biocomputing; learning (artificial intelligence); adaptive algorithm; fitness landscape; hypernetwork model; learning; molecular interaction-based model; mutation buffering; mutation buffering capabilities; Biological system modeling; Biological systems; Biology computing; Computer science; Distributed computing; Evolution (biology); Genetic mutations; Hardware; Organisms; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolvable Hardware, 2001. Proceedings. The Third NASA/DoD Workshop on
Conference_Location
Long Beach, CA
Print_ISBN
0-7695-1180-5
Type
conf
DOI
10.1109/EH.2001.937941
Filename
937941
Link To Document