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.

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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.