2012•Journal of Taiyuan University of TechnologyRequires access

Improved Genetic Algorithm for the Course-arranging System

Yin Jidong

Abstract

An improved genetic algorithm was proposed for facilitating course arranging.On the basis of the applications of genetic algorithms in course-arranging systems,the deficiencies of selection of crossover and mutation probability was pointed out,and a design of chromosome and an improved algorithm of crossover and mutation probability with dynamic parameters were proposed.The effectiveness of the improved genetic algorithm was verified through computer experiments.

About this research paper

What this paper is about

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Crossover, Genetic algorithm, Chromosome, Selection (genetic algorithm), Algorithm, Mutation, Computer science, Course (navigation)