• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2014 International Conference on Web and Open Access to Learning >A genetic algorithm applied in the optimization of cognitive profiles: A nonlinear dynamic system resolution
【24h】

A genetic algorithm applied in the optimization of cognitive profiles: A nonlinear dynamic system resolution

机译：遗传算法在认知特征优化中的应用：非线性动力学系统解析

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Genetic Algorithms (GAs) are gradient-free optimization algorithms that use a performance criterion for evaluation and a population of possible solutions to the search for a global optimum [2]. They are capable of handling complex and irregular solution spaces, and have been applied to various difficult problems. Inspired by the biological process of Darwinism evolution where selection, mutation and crossover play a major role, GAs can handle high-dimensional nonlinear optimization problems [1]. Therefore, our proposed approach is based on the evolvement technique through a structure named knowledge blocks (KBs). Then, the GA and a pre-evaluation statistical function are employed to construct an optimal path for each learner [3]. This paper makes three critical contributions: (1) it presents a genetic-based curriculum sequencing approach that will generate a personalized curriculum sequencing supported by the KBs; (2) it creates the bases of a new paradigm - the Knowledge Block Structure (KBS) - as a standard to implement a new learning path; and (3) it uses empirical research to indicate that the proposed approach can conduct to a correct learning path, based on individual learner needs.
机译：遗传算法（GA）是无梯度优化算法，使用性能标准进行评估，并使用大量可能的解决方案来寻找全局最优值[2]。它们能够处理复杂和不规则的解决方案空间，并已应用于各种难题。受达尔文主义进化过程（选择，突变和交叉作用起主要作用）的生物学过程的启发，遗传算法可以处理高维非线性优化问题[1]。因此，我们提出的方法基于通过称为知识块（KB）的结构的演化技术。然后，采用遗传算法和预评估统计函数为每个学习者构建最佳路径[3]。本文做出了三个关键的贡献：（1）提出了一种基于遗传的课程排序方法，该方法将生成由知识库（KB）支持的个性化课程排序； （2）它创建新范式的基础-知识块结构（KBS）-作为实现新学习路径的标准； （3）通过实证研究表明，所提出的方法可以根据个体学习者的需求进行正确的学习。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号