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
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