APPLICATION OF A GENETIC ALGORITHM TO SOLVE THE LOCATION-ACTIVATION PROBLEM

The work considers the use of a genetic algorithm to solve the problem of placing and activating logistic network objects. The urgency of the problem in medical logistics, especially in crisis situations, is emphasized. The author formulates a practical statement of the problem and develops a corresponding mathematical model. According to the mathematical formulation, the problem is a combined optimization problem, where there is a continuous optimization problem for the location of the distributional centers (DC) and a discrete optimization problem for the activation of the subregional centers (SRC). To solve the problem, we use a genetic algorithm with priority coding of chromosomes, which uses a weighted crossover. The chromosomes are selected by the roulette method, and the mutation operation is implemented as a mixed adaptive procedure with two possible variants of changes: swap or insertion. The results of the work can be applied to improve logistic processes in the field of medical logistics at the regional level.