【摘要】 在传统的遗传算法中,不合适的参数设置会降低所得解的质量,于是在解决一些优化问题时传统的遗传算法被分布估计算法所取代。对传统的遗传算法和分布估计算法EDAs(EstimationofDistributionAlgo rithms),及其各自的并行模式进行了对比,重点介绍了基于贝叶斯网络的并行EDA算法。更多还原

【Abstract】 In conventional Genetic Algorithms, inappropriate parameters setting may decrease the quality of the solutions. Conventional algorithms are thus replaced by Estimation of Distribution Algorithms in solving optimization problems. The conventional algorithms and the Estimation of Distribution Algorithms, and their respective parallel modes are compared. Estimation of Distribution Algorithms based on Bayesian network are emphatically introduced.更多还原