Feasibility study of using artificial intelligence to explore the process of zebra migration

Shan Chen and Yuanzhao Ding

Mathematics and Computers in Simulation (MATCOM), 2026, vol. 242, issue C, 74-83

Abstract: It is essential to comprehend and forecast animal migratory paths. Only with this knowledge will scientists be able to help conserve animals and better safeguard their habitats. Using the zebra migration as an example, this research simulates and interprets the evolution of zebra migration patterns using a revolutionary genetic algorithm method. With this technique, we discover that only when the zebra population size is quite large and the mutation rate is moderate does migratory route evolution go more smoothly. Future efforts to conserve animals will be greatly impacted by this paper's demonstration of the viability of employing a genetic algorithm to comprehend and enhance animal migration pathways.

Keywords: Artificial intelligence; Genetic algorithm; Migration routes; Serengeti national park; Zebra (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:242:y:2026:i:c:p:74-83

DOI: 10.1016/j.matcom.2025.11.018

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