self-organization

The present article is dedicated to elucidating the issue of possibility to forecast movement of migration system, which immediately affects the community of states, tolerance and leniency towards migrants as necessary elements of the migration system, their conscious conduct in the field of observance of legal provisions and respect towards culture, mentality of population of the host country, which is also an element of this open system.

This article deals with the explanation of the meaning of such notions as “synergetic effect” and “synergy” and the need for application of synergetic concepts in the study of migration. Determination of the need for a new complex of the methods and views on the system of migration: it has to be studied as an integral unity formed by the structural order of its component elements to achieve the synergetic effect. The article states, that the ideas of synergy deserve special attention when defining the system of migration.
 

In the article the modified paradigm of bee colonies for hiking trails through the solution of combinatorial problems on graphs: the selection in the column independent subset of vertices of maximum pairing in column coloring graph, click in the selection box are studied. Based on the analysis of behavioral models of self colony of bees, methods and mechanisms of formation of the ideas are developed, the formation of combinatorial problems on graphs is discussed. Methods of forming search space are studied. Position in the search space is represented as an ordered list.

This article is dedicated to the issue of differentiation of the controlled though sophisticated structure and chaos of the system of migration, stability, dynamics of the system of migration, and the course of changes in relation to irritants. The study of migration synergy, including both the invariable characteristics (general signs of this phenomenon), and variable characteristics (selforganized and spontaneous order formation) of migration, sources of self-motion of the system of any (animated or inanimate) nature is recognized as ability to self-organization peculiar to it.

In wireless sensor networks (WSN) is important task of self-organization networks. There are many different algorithms for self-organization of such networks. This choice determines the relevance of pre-emptive self-algorithm network with the additional information obtained from experts. In the article features practical application of the analytic hierarchy process to select a preferred algorithm for self-organization in wireless sensor networks.

A bee colony optimization algorithm and its modifications as a way to solve the complex combinatorial optimization problems are described. Biological basis, advantages, disadvantages and usage of this method are studied.

This article is devoted to research additional methodological aspects of the nature of local self-government, its place and role in society. The author made an analysis of different interpretations and understanding of local self-government and considered the main causes of the hypothesis in humans needs to self-organization.