Abstract
The paper is devoted to an emerging trend in modern automation of production - collaborative multi-agent systems – characterized by the simultaneous use of the labor of people and robots in a single system in the framework of solving the target problem. The need in collaborative multi-agent systems is due to the fact that the industrial use of fully automated multicomponent systems is limited by the financial and infrastructural unavailability of various industries to switch to completely unmanned technologies. The article discusses the issue of the effectiveness of applying this approach as an alternative to full robotization of production. A multi-criteria assessment of the effectiveness of collaborative multi-agent systems as optimization knapsack problem is formulated. A multicriteria genetic algorithm based on the principle of small variations of the basic solution is presented for the solution of the stated problem. The resulting Pareto set is constructed according to the rank of possible solutions.
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