ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 7. Vol. 30. 2024

DOI: 10.17587/it.30.342-349

V. V. Kureichik, Dr. of Eng. Sc., Prof., V. I. Danilchenko, Ph.D. Tech. Sciences,
Southern Federal University, Rostov-na-Donu, 344006, Russian Federation

Modified Evolutionary Algorithm Mole-Rat with an Adaptive Mechanism for Dynamic Obstacle Avoidance in Emergency Situations

The study is devoted to improving evacuation strategies in emergency situations based on the application of the evolutionary algorithm Mole-rat (mole colony algorithm) (MRA). The work is based on a modified dynamic obstacle avoidance mechanism designed to improve the efficiency of the basic MRA algorithm in the context of evacuation from hazardous areas. In the context of increasing emergencies and crises, providing effective evacuation strategies becomes a pressing and important task. The implementation of the MRA algorithm with a modified dynamic obstacle avoidance mechanism is a relevant approach that will improve the efficiency and safety of real-time evacuation.
Keywords: Mole-rat algorithm (MRA), evacuation strategies, dynamic obstacle avoidance, adaptive coordination, route prediction, emergency planning, intelligent systems, group evacuation

P. 342-349

Acknowledgements: The research was funded by the Russian Science Foundation project No. 22-71-10121, https://rscf.ru/en/project/22-71-10121/ implemented by the Southern Federal University).

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