On one approach to choosing unloading stations according to egalitarian principles in transport-type optimization problems

Abstract

A multi-agent approach has been developed for solving the optimization transport-type problems. As an object of application, a multimodal system of transportation of grain cargoes with cost indicators is considered. The egalitarian principles of welfare theory implemented in the form of the Pareto criterion are used as the methodological basis of the research. A significant role belongs to the mathematical experiment as an effective tool for simulation modeling. The optimization algorithm developed in a mathematically oriented software environment makes it possible to effectively manipulate the values of cost indicators and constraints in the problem.