DocumentCode :
342660
Title :
“Effective” fitness landscapes for evolutionary systems
Author :
Stephens, C.R.
Author_Institution :
Inst. de Ciencias Nucl., Univ. Nacional Autonoma de Mexico, Mexico City, Mexico
Volume :
1
fYear :
1999
fDate :
1999
Abstract :
In evolution theory the concept of a fitness landscape has played an important role, evolution itself being portrayed as a hill-climbing process on a rugged landscape. It is shown that in general, in the presence of other genetic operators such as mutation and recombination, hill-climbing is the exception rather than the rule. This discrepancy can be traced to the different ways that the concept of fitness appears, as a measure of the number of fit offspring, or as a measure of the probability to reach reproductive age. Effective fitness models the former not the latter and gives an intuitive way to understand population dynamics as flows on an effective fitness landscape when genetic operators other than selection play an important role. The efficacy of the concept is shown using several simple analytic examples and also some more complicated cases illustrated by simulations
Keywords :
evolution (biological); evolutionary computation; effective fitness landscape; evolution theory; evolutionary computation; evolutionary systems; fit offspring; fitness landscapes; genetic operators; hill-climbing process; mutation; population dynamics; population genetics; recombination; reproductive age; rugged landscape; Analytical models; Biological system modeling; Circuits; Ethics; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetic mutations; Length measurement; Mutual information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
Type :
conf
DOI :
10.1109/CEC.1999.782002
Filename :
782002
Link To Document :
بازگشت