Application of improved genetic algorithm in the evaluation system of enterprise

In this paper, in order to solve the problem of intelligent test paper, the author puts forward the improvement on chromosome coding, mutation algorithm and genetic operators of genetic algorithm after the study of genetic algorithm in theory and then proposes a multi-objective function optimization...

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Bibliographic Details

Published in:	2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) pp. 1 - 4
Main Authors:	Han Xiao-bing, Tian Yu-tong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2015
Subjects:	Algorithm design and analysis Artificial intelligence Biological cells chromosome coding Encoding Genetic algorithms intelligent test paper multi-objective function optimization Sociology Statistics The improved genetic algorithm
ISBN:	1479989185, 9781479989188
Online Access:	Get full text
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