Work

Particle swarm methods for transport and logistics optimization processes

Year: 2023
Type: article
Abstract: This article describes heuristic approaches to static optimization methods, taking into account the nature of the motion of a swarm of particles representing, for example, birds, ants, bees, fireflies, bats, krill, cuckoos, cuttlefish, cockroaches, or the pollination process of flowers. In the given descriptions of the methods, the features of swarm intelligence are detailed, the optimization quality indicators are formulated, and flow charts of the computational algorithms are provided.
Language: English
Open Access status: diamond
OpenAlex ID: W4388626331
FWCI: 0.089
Cites: 9
Cited by: 1
Related to: 10