DocumentCode :
2331495
Title :
A progress indicator for detecting success and failure in evolutionary multi-objective optimization
Author :
Marti, Luis ; Garcia, Jesus ; Berlanga, Antonio ; Molina, Jose M.
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
In this work we present a novel progress indicator, called fitness homogeneity indicator (FHI). This indicator improves the other previously discussed indicators as it takes into account all possible processes taking place in the population while not requiring an intensive computation as it relies on the fitness values calculated for the individuals. It is also capable of equally detecting success and failure scenarios, hopefully making an early detection of the second case.
Keywords :
evolutionary computation; optimisation; evolutionary multiobjective optimization; fitness homogeneity indicator; fitness value; progress indicator; Convergence; Estimation; Evolutionary computation; Heuristic algorithms; Kalman filters; Noise measurement; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
Type :
conf
DOI :
10.1109/CEC.2010.5586352
Filename :
5586352
Link To Document :
بازگشت