2010 Issue №10

A creation of decision support self-organising intellectual computer system based on the analysis of an interaction between participants on example of multi-agent system is considered. The universal structure of system implementing proposed method is presented. The results of testing different types of architectures for probability of arising of the synergetic effect and estimation of its impact on the quality of solutions to complex problems are given.

A model of a high-level control system of mobile robot is described. The structure of the system is a neuron growing net. Basic concepts of neuron growing nets theory are given. Main components of the system are de-scribed.

The course of development of a software for multiparametrical optimization on the basis of genetic algorithms is described. A brief description of a subject domain is given and a feature of the problem is explained. The basic development cycles and achieved on a today level of execution and structure of the program are specified. Examples of accounts are resulted.