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