The study is devoted to the development of algorithms and models for the interaction of data in the information system of transport logistics based on optimization methods. The article is of an overview nature: a number of examples demonstrate the feasibility of using evolutionary algorithms to improve information systems for managing the routing of cargo transportation. Evolutionary algorithms have obvious advantages: high scalability and flexibility, the ability to solve global optimization problems and optimize several criteria simultaneously are essential in the selection of informative features, selection of training examples, and solving other data dimensionality reduction problems.
| Mualliflar | Сулюкова, Л.Ф., Ахмеджанова, З.И. |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2022-12-21 |
| Jild | 2 |
| Son | 2 |
| Betlar | 40-52 |
| Til | Rus |
information system, evolutionary algorithms, genetic algorithms, cargo transportation planning optimization, transport system, информационная система, эволюционные алгоритмы, генетические алгоритмы, , оптимизация планирования грузоперевозок, транспортная система
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