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An almost everywhere strong convergence analysis for clonal selection algorithm

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2 Author(s)
Yugang Dai ; China Minorities Information Technology Institute, Northwest University for Nationalities, Lanzhou 730030, Gansu, China ; Zhandong Liu

Immune algorithm is a kind of optimization algorithm,which has been used to solve combinatorial optimization problems,but its convergence analysis is lack. This paper improves clonal selection algorithm,which based on the group's immune algorithm,and then analyses the cloning operator;finally,through the decomposition of the state space,this paper demonstrates an almost everywhere strong convergence of the improved clonal selection algorithm by martingale theory.

Published in:

Computer Design and Applications (ICCDA), 2010 International Conference on  (Volume:2 )

Date of Conference:

25-27 June 2010