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用于智能组卷的自适应小生境复合遗传算法

张旭涛 张勇 黄红萍

计算机与现代化Issue(12):19-22,4.
计算机与现代化Issue(12):19-22,4.DOI:10.3969/j.issn.1006-2475.2012.12.006

用于智能组卷的自适应小生境复合遗传算法

Adaptive Niche Genetic Algorithm for Intelligent Test Generation

张旭涛 1张勇 2黄红萍3

作者信息

  • 1. 徐州机电工程高等职业学校电气工程系,江苏徐州221011
  • 2. 中国矿业大学信电学院,江苏徐州221011
  • 3. 江苏师范大学,江苏徐州221116
  • 折叠

摘要

Abstract

The traditional genetic algorithm' s strategy of choice lacks of diversity protection mechanism, it easily appears premature convergence. To solve the problem of intelligent test generation, this paper adopts niche technology to complete the genetic operation of population' s evolution mechanism, setting the adaptive mutation operator to ensure the diversity of the population and prevent population from the local convergence by the size of the individual concentration; adding the threshold is to ensure that when the algorithm is close to the optimal solution, the algorithm returns to the adaptive genetic algorithm in order to simplify the algorithm and accelerate the convergence speed. This paper proposes an adaptive and niche technology combined genetic algorithm , in a balance of the global searching algorithm and local rapid development ability. Finally, an example verifies the effectiveness of the proposed algorithm.

关键词

遗传算法/小生境技术/智能组卷/自适应变异/阈值

Key words

genetic algorithm/ niche technology/ intelligent generation/ adaptive mutation/ threshold

分类

信息技术与安全科学

引用本文复制引用

张旭涛,张勇,黄红萍..用于智能组卷的自适应小生境复合遗传算法[J].计算机与现代化,2012,(12):19-22,4.

基金项目

国家自然科学基金资助项目(61005089) (61005089)

计算机与现代化

OACSTPCD

1006-2475

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