DocumentCode :
2635556
Title :
Method to achieve better performance in genetic algorithms applied to time-constrained, multi-solution problems
Author :
Dickens, T.P. ; Karr, C.L.
Author_Institution :
Boeing Co., Seattle, WA
fYear :
1998
fDate :
21-23 May 1998
Firstpage :
2
Lastpage :
9
Abstract :
It has been demonstrated that a periodic complete reinitialization of a running genetic algorithm (GA) solution will result in a higher convergence rate for a series of problems. This technique, referred to as the “total-comet-strike” operator, has been applied to a number of multi-solution GA problems. Where it has been used, an improvement has been shown both in the number of cases that converge within an imposed time limit and in the average time required for each case
Keywords :
convergence of numerical methods; genetic algorithms; image processing; convergence; genetic algorithms; image transformation; time-constrained multiple solution problems; total-comet-strike operator; Artificial intelligence; Automatic control; Control system synthesis; Genetic algorithms; Inductors; Monitoring; Prototypes; Real time systems; Safety; Software prototyping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-8548-4
Type :
conf
DOI :
10.1109/IJSIS.1998.685406
Filename :
685406
Link To Document :
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