Integration of models of adaptive behavior of ant and bee colony

Abstract

The paradigm of the swarm algorithm is proposed on the basis of integration of models of adaptive behavior of ant and bee colony. Integration of models is reduced to the creation of a hybrid agent alternately performing the functions of adaptive behavior of ant and bee colony. The proposed class of hybrid algorithms can be used to solve a wide range of combinatorial problems Based on the hybrid paradigm, a partitioning algorithm has been developed. Also article give a comparison hybrid algorithms with other methods of solution problem. Compared with the existing algorithms, the improvement of results is achieved by 5–10%. The probability of obtaining the global optimum was 0.9.