Obtaining System Robustness by Mimicking Natural Mechanisms

TY - CONF

T1 - Obtaining System Robustness by Mimicking Natural Mechanisms

AU - Zhan, Song

AU - Miller, Julian F.

AU - Tyrrell, Andy M.

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=70449939748&partnerID=8YFLogxK

M3 - Paper

SP - 3032

EP - 3039

T2 - 11th IEEE Congress on Evolutionary Computation (CEC 2009)

Y2 - 1 May 2009

ER -