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Time Complexity Analysis of an Evolutionary Algorithm for Finding Nearly Maximum Cardinality Matching.

Authors :
Jun He
Xin Yao
Source :
Journal of Computer Science & Technology (10009000); July 2004, Vol. 19 Issue 4, p450-458, 9p
Publication Year :
2004

Abstract

Most of works on the time complexity analysis of evolutionary algorithms have always focused on some artificial binary problems. The time complexity of the algorithms for combinatorial optimisation has not been well understood. This paper considers the time complexity of an evolutionary algorithm for a classical combinatorial optimisation problem, to find the maximum cardinality matching in a graph. It is shown that the evolutionary algorithm can produce a matching with nearly maximum cardinality in average polynomial time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10009000
Volume :
19
Issue :
4
Database :
Complementary Index
Journal :
Journal of Computer Science & Technology (10009000)
Publication Type :
Academic Journal
Accession number :
15081167