Undergraduate research in genetic algorithms

被引：0
|
作者：
Lankewicz, LB [1 ]
机构：
[1] Univ South, Dept Math & Comp Sci, Sewanee, TN 37383 USA
来源：
PROCEEDINGS OF THE THIRTY-SECOND SIGCSE TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION | 2001年 / 33卷 / 01期
关键词：
D O I：
10.1145/364447.364556
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The study of genetic algorithms (GAs) in the undergraduate curriculum introduces students to parallel search strategies and to experimental design. Not only does it build on the topics covered in an Analysis of Algorithms course but it exposes students to issues such as the importance of the form of representation to solving a problem and to the difficulties encountered when a local minima is selected as the solution rather than the best global solution. As an illustration of the merits of including genetic algorithms in the curriculum, an undergraduate research project investigating the use of a diploid sexual model for crossover operations is described.
引用
收藏
页码：114 / 118
页数：5
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