Centralization and decentralization of intelligent optimization

On the basis of a brief analysis of principles and means for the generation of mechanisms in intelligent optimization, centralization and decentralization, that are basic properties of intelligent optimization, are introduced. The relationship between these two properties and convergence is described. The significance of these two properties to analysis and construction of algorithms is proposed. Finally, using an example based on the centralization and decentralization of intelligent optimization, the mechanism combination of algorithm is explored from the point of view of population evolution. The practical examples are given.