Volume 11 Number 7 (Jul. 2016)
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JSW 2016 Vol.11(7): 685-694 ISSN: 1796-217X
doi: 10.17706/jsw.11.7.685-694

Research on Model Beginning Standard of Multi-objective Evolutionary Algorithm Based on Entropy

Qiong Yuan1,2, Guangming Da1,2*
1School of Computer Science, China University of Geosciences,Wuhan 430074, China.
2Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan 430074, China.


Abstract—Entropy is a measurement of the system’s degree of chaos, it has important applications in the field of control theory, probability theory, number theory, astrophysics and life sciences. In the process for multi-objective evolutionary algorithm to solve optimization problem, the distribution of individuals in the population goes from disorder to order. The paper introduces the entropy theory to multi-objective evolutionary and proposes an entropy calculation method to describe the population distribution, besides, it offers a method to judge the critical point, which can be used as a model beginning standard.

Index Terms—Multi-objective evolutionary algorithm, entropy, critical point, model beginning standard.

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Cite: Qiong Yuan, Guangming Dai, "Research on Model Beginning Standard of Multi-objective Evolutionary Algorithm Based on Entropy," Journal of Software vol. 11, no. 7, pp. 685-694, 2016.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly 
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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