Self-organizing Quantum Evolutionary Algorithm Based on Quantum Dynamic Mechanism

Authors:
Sheng Liu;Xiaoming You
Affiliations:
School of Management, Shanghai University of Engineering Science, Shanghai, China 200065;School of Management, Shanghai University of Engineering Science, Shanghai, China 200065
Venue:
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Year:
2009

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Abstract

A novel self-organizing Quantum Evolutionary Algorithm based on quantum Dynamic mechanism for global optimization (DQEA) is proposed. Firstly, population is divided into subpopulations automatically. Secondly, by using co-evolution operator each subpopulation can obtain optimal solutions. Because of the quantum evolutionary algorithm with intrinsic adaptivity it can maintain quite nicely the population diversity than the classical evolutionary algorithm. In addition, it can help to accelerate the convergence speed because of the co-evolution by quantum dynamic mechanism. The searching technique for improving the performance of DQEA has been described; self-organizing algorithm has advantages in terms of the adaptability; reliability and the learning ability over traditional organizing algorithm. Simulation results demonstrate the superiority of DQEA in this paper.