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
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002