APPLICATION OF AFRICAN BUFFALO OPTIMIZATION ALGORITHM TO CULTURAL HERITAGE
DOI:
https://doi.org/10.15282/ijsecs.11.1.2025.4.0136Keywords:
African Buffalo Optimization, Cultural heritage, Cultural studies, Digital humanitiesAbstract
The cultural heritage of a people defines the people. Cultural heritage refers to the physical and intangible artefacts, traditions, and values that are passed down from one generation to another within a community or society, nation, or race. Over the years, it has been observed that cultural heritage studies have been bogged down by optimization challenges in the areas of resource allocation, route planning, and site selection. This study explores the application of African Buffalo Optimization (ABO) to address these challenges. The relationship between African Buffalo Optimization, which is a swarm optimization technique in computer science, and cultural heritage is also examined using the qualitative research method. Using the analytical research method, not an experimental one, to track the relationship between humanities, computer science, Artificial Intelligence, cultural studies, and the social sciences, this paper highlights the application of the African Buffalo Optimization to confronting the challenges of cultural heritage and concludes that the algorithm can be applied to optimize various processes, such as digital preservation and conservation, collection management and curation, exhibition and display design, community engagement and participation, and cultural heritage tourism management. Such application benefits the global cultural heritage organizations and institutions in several ways. It is, therefore, recommended that the global research community in cultural studies, digital humanities and social sciences should explore the use of swarm optimization techniques, in general, and the African Buffalo Optimization, in particular, to cultural heritage research and scholarship.
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