Improved Quantum Evolutionary Algorithm Combined with Chaos and Its Application

Authors:
Jianhua Xiao
Affiliations:
Research Center of Logistics, Nankai University, Tianjin, China 300071 and Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China 430074
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Year:
2009

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Abstract

Quantum evolutionary algorithm (QEA) has been developed rapidly and has been applied widely during the past decade. In this paper, an improved quantum evolutionary algorithm (IQEA) is presented based on particle swarm optimization (PSO) and chaos. The simulation results in solving DNA encoding demonstrate that the improved quantum evolutionary algorithm is valid and outperforms the quantum chaotic swarm evolutionary algorithm and conventional evolutionary algorithm. abstract environment.