An improved quantum-behaved particle swarm optimization and its application to medical image registration

作者：Zhou Di; Sun Jun^*; Lai Choi Hong; Xu Wenbo; Lee Xiaoguang

来源：International Journal of Computer Mathematics, 2011, 88(6): 1208-1223.

DOI：10.1080/00207160.2010.499934

• quantum-behaved particle swarm optimization
• estimation of distribution algorithm
• hybrid probability distribution
• diversity control
• mutual information
• image registration

This paper investigates the quantum-behaved particle swarm optimization (QPSO) algorithm from the perspective of estimation of distribution algorithm (EDA) which reveals the reason of QPSO's superiority. A revised QPSO (RQPSO) technique with a novel iterative equation is also proposed. The modified technique is deduced from the distribution function of the sum of two random variables with exponential and normal distribution, respectively. We present a diversity-controlled RQPSO (DRQPSO) algorithm, which helps prevent the evolutionary algorithms' tendency to be easily trapped into local optima as a result of rapid decline in diversity. Both the RQPSO and DRQPSO are tested on three benchmark functions, as well as in medical image registration for performance comparison with the particle swarm optimization and QPSO.

• 出版日期2011
• 单位江南大学