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A new coevolutionary programming using operators of single-point and particle swarm

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2 Author(s)
Xin Zhang ; Department of Computer Science and Technology, Harbin Engineering University, China ; Hongbin Dong

This paper proposes using single-point and particle swarm operators in evolutionary programming. The single-point operator has a good global optimizing ability and accuracy, however, its convergence speed decrease. Compared to the single-point operator, the features of particle swarm operator are in the direct opposite. The two operators are complementary to each other. In this paper, the two mutation operators cooperate under a mixed strategy in order to obtain a better performance. Simulation results show that the proposed coevolutionary algorithm is superior to several popular algorithms proposed in recent years.

Published in:

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)  (Volume:5 )

Date of Conference:

22-24 Oct. 2010