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With the continuous development of network, the damage of the public opinions spreading is expanding. It is researched that under the effect of the herd instinct, how does the process of the individuals in the network cognize the public opinions evolve, uses the coordination game with the factor of non-rational to building the model of interaction among the neighbors. It has been studied that individuals'...
By combining CMBOA and PSO with quasi-oppositional learning, a cloud estimation of distribution particle swarm optimizer is firstly introduced. Then, it is extended to multi-objective optimization problems by using maximum ranking. In the algorithm's offspring generation scheme, new individuals are generated in the cloud estimation of distribution way or in the PSO way. And instead of Pareto dominance,...
This paper proposes an evolutionary model for the construction of complex networks. The model uses evolutionary set theory to simulate the process of how a real network generates. Evolutionary set theory is a model of spatial game. Individuals exist as nodes in the network and connections between nodes imply the relationship of individuals. If there is a connection existed between two individuals,...
A Pareto-based multi-objective estimation of distribution algorithm with Gaussian copulas is proposed and applied to RFID network planning. The algorithm employs Pareto-based approach and multivariate Gaussian copulas to construct probability distribution model. By estimating Kendall's tau and using the relationship of Kendall's tau and correlation matrix, Gaussian copula parameters are firstly estimated,...
According to the sociological principium, this paper designed a model aimed at social networks and implemented it using the multi-agent system. Based on this model, we established a simulation system to research the evolution of colony in the social networks, analyzed the effects on the evolution by the characteristics of individuals and achieved meaningful conclusions.
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