DocumentCode :
1643203
Title :
Obtaining system robustness by mimicking natural mechanisms
Author :
Zhan, Song ; Miller, Julian F. ; Tyrrell, Andy M.
Author_Institution :
Dept. of Electron., Univ. of York, York
fYear :
2009
Firstpage :
3032
Lastpage :
3039
Abstract :
Real working agents normally operate in dynamic changing environments. These changes could either affect the efficiency of the agents´ performance or even damage the functionality of the agent. Robustness is the key requirement to solve this problem. Inspired by nature, this paper demonstrates two mechanisms that contribute to individual´s robustness in changing environments: evolution and degeneracy. Through evolution in damaging environment, evolved agents have to cope with changes in the environment and acquire robustness. Through degeneracy, individuals can maintain their fitness even when some damaged parts are involved in system function.
Keywords :
evolutionary computation; software agents; agent performance; changing environment; damaging environment; degeneracy; evolution; natural mechanism; real working agents; system function; system robustness; Biological system modeling; Biomembranes; Cells (biology); Circuit synthesis; Electronic circuits; Evolution (biology); Logic gates; Logic programming; Protein engineering; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
Type :
conf
DOI :
10.1109/CEC.2009.4983326
Filename :
4983326
Link To Document :
بازگشت