Models and algorithms for data interaction based on a multi-criteria evolutionary algorithm are a promising direction for improving transport logistics in rural areas. Their use allows not only to increase the efficiency of processes, but also to provide higher quality of customer service. In the context of market variability and the need for rapid adaptation to new conditions, such approaches are becoming especially relevant. The future of transport logistics in agriculture depends on the ability to integrate modern technologies and optimization methods, which will allow efficient resource management and cost minimization. Evolutionary algorithms are one of the effective methods for solving problems that are computationally complex, have a large dimension and search space. The optimization process, the main task on the hybrid version of the evolutionary algorithm, for use in freight transportation planning problems. The paper proposes a new approach to solving optimization problems in logistics based on a hybrid genetic algorithm with fuzzy set integration. This method is aimed at improving the quality of solutions and accelerating the convergence process, especially in complex and uncertain conditions.
| Mualliflar | Sulyukova, L.F., Akhmedjanova, Z.I., Сулюкова, Л.Ф., Ахмеджанова, З.И. |
|---|---|
| Jurnal | Ҳисоблаш ва амалий математика муаммолари |
| Nashr sanasi | 2025-01-07 |
| Son | 6 |
| Betlar | 125-136 |
| Til | Rus |
simulation modeling, logistics optimization, cargo transportation, genetic algorithm, supply chain, имитационное моделирование, оптимизация логистики, транспортировка груза, генетический алгоритм, цепочка поставок
This paper presents the Alternating Direction Method of Multipliers (ADMM) optimizer, a powerful tool for solving optimization problems, especially in the context of mixed-binary constrained optimization (MBCO). This…
The subject of this article is modeling the process of propagation of gas mixtures and aerosol particles in the surface layer of the atmosphere. A model of the process of propagation of industrial emissions in the…
The paper studies oscillograms, phase trajectories and bifurcation diagrams of the nonlinear FitzHugh-Nagumo oscillator with variable heredity (fractional FitzHugh-Nagumo oscillator). The model equation for the…
The paper studies the process of wet deposition of radioactive impurities, including their interaction with rain, snow, and fog. Mathematics models describing the deposition process are presented based on data from the…
The article analyzes the theoretical and practical aspects of the mathematical model for forecasting groundwater movement and level based on the studied literature. Using this model allows for efficient management…
The mathematical model of the cleaning process of a cylindrical device operating on centrifugal force, describing the movement of particles and their resistance coefficients, is presented in the form of a system of…
The article considers the results of experimental and numerical studies of atmospheric pollution processes in industrial zones. The proposed mathematical model helps to solve problems related to monitoring and…
In the modern world, the problem of storing grain crops and their processed products plays a vital role in ensuring food security. One of the key aspects of preserving grain quality is monitoring heat and moisture…
Modeling of nonlinear filtration processes in multilayer heterogeneous porous media is a complex area that combines various mathematical and physical principles to understand the dynamics of fluid in porous structures…
This article presents a scientific study of seismic oscillations and Rayleigh wave propagation models. The research details how Rayleigh waves propagate in a semi-infinite elastic medium, the types of motions they…