DocumentCode :
2557107
Title :
A generalized integral computation method based on evolution strategy
Author :
De-long, Guo ; Nan, Yang
Author_Institution :
Dept. of Math., Qiannan Normal Coll. for Nat., Duyun, China
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1132
Lastpage :
1134
Abstract :
A kind new computation generalized integral method based on evolution strategy algorithm is proposed, this method selects the break point willfully according to the integrand variable interval, as evolution strategy initial group, optimized these break points through the evolution strategy algorithm, which may obtain some most superior break point finally, then sumed again, again according to the sum function definition fitness function, in assigned under termination condition,which may attain precision high integral value. Finally, taked the generalized integral (infinite integral), the double integral (flaw integral) as the example, the simulation result indicated that this algorithm compares traditional some methods, which has the computation precision to be high, auto-adapted strong characteristics and so on.
Keywords :
evolutionary computation; integral equations; break point; evolution strategy algorithm; fitness function; flaw integral; generalized integral computation method; infinite integral; integrand variable interval; optimization; termination condition; Accuracy; Algorithm design and analysis; Approximation methods; Educational institutions; Integral equations; Next generation networking; Standards; evolution strategy; fitness function; flaw integral; generalized integral; infinite integral;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
ISSN :
2157-9555
Print_ISBN :
978-1-4577-2130-4
Type :
conf
DOI :
10.1109/ICNC.2012.6234555
Filename :
6234555
Link To Document :
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