【摘要】 为了古典文献文字识别效果更好,在分析前人研究成果的基础上,基于多学科交叉,对遗传算法进行改进:建立经过优化的初始化种群,为交叉选择方法提供多样性的信息,利用柯西变异与高斯变异结合形成PM生成器.实验表明:该技术有效地提高了求解质量,较好地优化算法性能.更多还原

【Abstract】 An Improvement method of Genetic Algorithms Based on Multidisciplinary Intersection was introduced: for the better recognition effect of classical documents word, based on the analysis of previous research results, establishment of optimized initialization population, providing diverse information for cross-selection methods, formation of PM Generator by combining Cauchy variation with Gauss variation. Experiments showed that this technique could effectively improve the quality of solution and the optimization performance of the algorithm.更多还原