DocumentCode :
2527245
Title :
Performance comparison of two evolutionary schemes
Author :
Dutta, Paramartha ; DuttalMajumder, D.
Author_Institution :
Electron. & Commun. Sci. Unit, Indian Stat. Inst., Calcutta, India
Volume :
4
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
659
Abstract :
The performance of a deterministic algorithm is judged by its computational complexity. But an evolutionary algorithm being probabilistic in nature, its convergence has some probability associated with it. In the present paper, we try to locate the parameters that control the performance of an evolutionary algorithm. In this formulation, we make some assumptions, under which the performance comparison is possible. Moreover we propose a notion of characteristic polynomial which gives a measure of the performance of an evolutionary scheme. The area under the curve of the characteristic polynomial over the range 0 to 1 is equivalently shown to represent the performance criterion
Keywords :
computational complexity; convergence of numerical methods; genetic algorithms; probability; search problems; stochastic processes; characteristic polynomial; computational complexity; convergence; deterministic algorithm; evolutionary algorithm; optimisation; probability; search space; stochastic algorithm; Binary codes; Computational complexity; Convergence; Evolutionary computation; Performance analysis; Polynomials; Probability; Random variables; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.547647
Filename :
547647
Link To Document :
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