Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 390-394.doi: 10.11896/j.issn.1002-137X.2016.6A.093

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Application of Genetic Algorithm on Optimal Sequence of College Entrance Examination Voluntary Report

YANG Bo-kai, LI Xiao-yu, HUANG Yi-ming and LEI Hang   

  • Online:2018-11-14 Published:2018-11-14

Abstract: We proposed a method according to genetic algorithm (GA),which aims at finding the best and optimal plan for the college entrance examination voluntary report.The project simulates the process of natural selection and genetic evolution,ranking college aspirations of different examinees,so that they will have maximum benefits.Under the condition that the amount of selectable universities is the same,the sequences of different examinees’ data tend to be stable by using the procedure to iterate and optimize intelligently.These sequences are stable and optimal,which can meet the practical needs of the examinees and achieve the goal of maximizing the benefits.The method adoptes the data from ten universities including 985,211,and common colleges to test and record.The results indicate that GA can be used to decide the best and optimal sequence for the college entrance examination voluntary report and it has high accuracy and fitness indeed.

Key words: Genetic algorithm (GA),College entrance examination voluntary report,Optimal sequencing,Artificial Intelligence

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