自适应遗传算法在多模图像配准中的应用.doc
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自适应遗传算法在多模图像配准中的应用,全文约5000字论述翔实摘要：本文提出了一种改进的自适应遗传算法并应用到多模图像配准的优化过程中，该方法采用进化前后期分别调整交叉概率和变异概率、二次交叉以及移民策略等来克服传统遗传算法容易陷入局部最优的缺点。实验结果表明了该算法的可行性和有效性。关键字：遗传算法；图像配准；交叉；变...
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自适应遗传算法在多模图像配准中的应用
全文约5000字 论述翔实
摘要：本文提出了一种改进的自适应遗传算法并应用到多模图像配准的优化过程中，该方法采用进化前后期分别调整交叉概率和变异概率、二次交叉以及移民策略等来克服传统遗传算法容易陷入局部最优的缺点。实验结果表明了该算法的可行性和有效性。
关键字：遗传算法；图像配准；交叉；变异
Application of Adaptive Genetic Algorithm in Multimodality Image Registration
Abstract: An improved adaptive genetic algorithm is proposed, and the method is applied to the optimization process of multimodality image registration. This method includes adjusting the probability of crossover and mutation in the evolutionary process, second crossover and emigration strategies. The method can overcome the disadvantage of traditional genetic algorithm that is easy to get into a local optimum answer. The experiment indicates the validity and feasibility of this algorithm.
Key words: Genetic algorithm; Image registration, Crossover, Mutation.
部分参考文献
[4] C.Studholme, D.L.G.Hill, D.J.Hawkes, An overlap invariant entropy measure of 3D medical image alignment[J]. Pattern Recognition, 1999, 32(1):71-86.
[5] 严峻. 一种改进的基于成熟前收敛判断的自适应遗传算法[J]. 南京邮电学院学报,1993,19(1):35-38.
[6] 樊叔维,汪国梁,谢卫. 遗传算法在电力变压器优化设计中的应用研究[J]. 中国电机工程学报,1996,16(5):346-348.
[7] 刘志刚,耿英三,王建华等. 基于改进自适应遗传算法的空心串联电抗器优化设计[J].中国电机工程学报,2003,23(9):103-106.
全文约5000字 论述翔实
摘要：本文提出了一种改进的自适应遗传算法并应用到多模图像配准的优化过程中，该方法采用进化前后期分别调整交叉概率和变异概率、二次交叉以及移民策略等来克服传统遗传算法容易陷入局部最优的缺点。实验结果表明了该算法的可行性和有效性。
关键字：遗传算法；图像配准；交叉；变异
Application of Adaptive Genetic Algorithm in Multimodality Image Registration
Abstract: An improved adaptive genetic algorithm is proposed, and the method is applied to the optimization process of multimodality image registration. This method includes adjusting the probability of crossover and mutation in the evolutionary process, second crossover and emigration strategies. The method can overcome the disadvantage of traditional genetic algorithm that is easy to get into a local optimum answer. The experiment indicates the validity and feasibility of this algorithm.
Key words: Genetic algorithm; Image registration, Crossover, Mutation.
部分参考文献
[4] C.Studholme, D.L.G.Hill, D.J.Hawkes, An overlap invariant entropy measure of 3D medical image alignment[J]. Pattern Recognition, 1999, 32(1):71-86.
[5] 严峻. 一种改进的基于成熟前收敛判断的自适应遗传算法[J]. 南京邮电学院学报,1993,19(1):35-38.
[6] 樊叔维,汪国梁,谢卫. 遗传算法在电力变压器优化设计中的应用研究[J]. 中国电机工程学报,1996,16(5):346-348.
[7] 刘志刚,耿英三,王建华等. 基于改进自适应遗传算法的空心串联电抗器优化设计[J].中国电机工程学报,2003,23(9):103-106.
