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Ant Algorithm with Route Reservation

Olga Andreieva, Vladimir Zai͡a︡t͡s︡, Alexei Pavlichev, Marko Šoštar, Vitaliy Serzhanov, Fedir Abramov

Year
2023
Citations
2

Abstract

This work considers the problem of increasing the efficiency of navigation tools for the adapted ant algorithm in the conditions of non-stationary sources of resources. It is shown that, in the conditions of dynamic sources of resources, the efficiency of swarm navigation using a network of pheromone tracks can be significantly reduced due to: preservation of irrelevant routes to disappeared sources of resources for a certain period of time and the need to search for new pheromone tracks when moving to a new resource source. An ant algorithm with route preservation is proposed to increase the efficiency of a swarm of robots in conditions of dynamic resource sources.

Keywords

Swarm behaviourReservationComputer scienceResource (disambiguation)Ant colony optimization algorithmsSwarm roboticsRobotSwarm intelligenceDistributed computingPheromone

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