Optimization of Logistic, Informational and Economic-Financial Intercluster Interaction Using an Ant Colony Optimization Algoriyhm

Intercluster interaction of district regions is optimized in the following sequence: 1) logistic, 2) informational, and 3) economic and financial. At the first two stages, the problem is solved as a quadratic assignment problem using an ant colony optimization algorithm. The third stage is formal, because as a result of the conducted optimization of logistic and informational intercluster interaction, common transportation costs and population loss for the district are significantly reduced. The difference between the previous and new common transportation costs and population loss represents a value of the synergy effect of the performed optimization. As a result of using the proposed model of intercluster interaction for the Volga Federal District (VFD), the optimum alternative of the industrial agglomeration Samara-Ulyanovsk-Dimitrovgrad has been obtained. It~corresponds to the lowest transportation costs of RUB 24,987.77. Also, the result of information interaction optimization included the same industrial agglomeration, which had the lowest natural loss of population for the VFD amounting to 79,915 people per degree