Evolutionary algorithms in solving logistical problems = Еволюційні алгоритми у вирішенні логістичних задач

Abstract

The trends in the development of modern economy testify to the growing role of logistics, which, in the face of growing competition, reducing information barriers and globalization, is becoming one of the most important components of the strategic development of enterprises. Leading world companies emphasize their activities on strategic logistics in order to be able to cover suppliers, logistics intermediaries and consumers. At present, logistics is one of the fastest growing areas of productive activity. This process is connected not only with the growing demand for logistics services, but also with the strengthening of the mutual integration of the business opportunities of logistics and the simultaneous infrastructural development of the respective territories. The most significant development of methods and algorithms for interaction between the subjects of logistical processes is due to the rapid development of information technologies, which entailed a wide spread of network organizational forms of business, on-line document circulation, transition to electronic payment systems, virtualization of logistics processes, etc.

Рассматривается новый подход к решению логистических задач. Показана важность и актуальность решения подобного рода задач в современных условиях глобализации мировых рынков и необходимости повышения эффективности транспортных перевозок. Предложена авторская модификация гибридного генетического алгоритма с использованием аппарата нечетких множеств для регулирования размером популяции. Показаны результаты тестирования гибридного генетического алгоритма на тестовых задачах и реальных данных из нескольких предметных областей.