Placing on a basis SWARM intelligence and genetic evolution

Abstract EN

New technologies of the placing problem decision using mathematical methods in which principles of natural mechanisms of decision-making are put in pawn are offered.

The placing problem is represented in the form of adaptive system, on the basis of integration of evolutionary and swarm approaches to decision search.

The search process which is based on modeling of adaptive behaviour of a particle swarm is organized in space of decisions with disorder linguistic scales.

For strengthening of convergence of algorithm and ability of an exit from local optimum the organization of search procedure is made on the basis of hybridization swarm intelligence with genetic search.

In comparison with existing algorithms improvement of results is reached.

Experimental researches were spent on IBM PC.

Comparison with known algorithms has shown, that at the decisions of value of criterion function received by means of hybrid algorithm it is better on the average on 3-4 %.