Particle swarm methods for transport and logistics optimization processes
DOI:
https://doi.org/10.24136/jaeee.2023.002Keywords:
transport, logistics, optimization, computer scienceAbstract
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.
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