Department of Nursing Health, Ghent University, Sint-Pietersnieuwstraat 41, 9000 Ghent, Belgium
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Using a Seed Dispersal Model and the Multi-objective NSGA-II Algorithm, the Best Seed-tree Selection
Author(s): Weeoer Tekogb*
Seed dispersal plays a critical role in the distribution and survival of plant species. In this study, we propose a seed dispersal model integrated with
the Multi-Objective Non-dominated Sorting Genetic Algorithm II (NSGA-II) to optimize seed-tree selection. The model considers various factors
influencing seed dispersal, including wind patterns, topography, and vegetation density. By applying the NSGA-II algorithm, we aim to identify the
optimal selection of seed trees that maximizes dispersal efficiency while minimizing ecological impact. Our approach offers a systematic framework
for forest management and conservation planning, ensuring the sustainable propagation of plant species in diverse ecosystems... Read More»
DOI:
10.37421/2329-9126.2024.12.544
Journal of General Practice received 952 citations as per Google Scholar report