Journal de médecine générale

Using a Seed Dispersal Model and the Multi-objective NSGA-II Algorithm, the Best Seed-tree Selection

Abstract

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.