DocumentCode :
2918821
Title :
The “natura non facit saltus” principle in Memetic computing
Author :
Tirronen, Ville ; Neri, Ferrante ; Majava, Kirsi ; Kärkkäinen, Tommi
Author_Institution :
Dept. of Math. Inf. Technol., Univ. of Jyvaskya, Jyvaskyla
fYear :
2008
fDate :
1-6 June 2008
Firstpage :
3881
Lastpage :
3888
Abstract :
This paper proposes the employment of continuous probability distributions instead of step functions for adaptive coordination of the local search in fitness diversity based memetic algorithms. Two probability distributions are considered in this study: the beta and exponential distributions. These probability distributions have been tested within two memetic frameworks present in literature. Numerical results show that employment of the probability distributions can be beneficial and improve performance of the original memetic algorithms on a set of test functions without varying the balance between the evolutionary and local search components.
Keywords :
evolutionary computation; exponential distribution; beta distributions; continuous probability distributions; exponential distributions; fitness diversity; memetic computing; natura non facit saltus principle; Competitive intelligence; Computational intelligence; Distributed computing; Employment; Exponential distribution; Finite impulse response filter; Heating; Logic; Probability distribution; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
Type :
conf
DOI :
10.1109/CEC.2008.4631325
Filename :
4631325
Link To Document :
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