Enhancing Population Diversity Based Dandelion Optimizer for Solving Global Optimization Problems
Reham Reda Mostafa, Ahmed M. Khedr · 2024
The Dandelion Optimizer (DO) is a pioneering swarm intelligence optimization algorithm inspired by dandelion seed flight patterns. It simulates seed dispersal with rising, descending, and landing phases, exhibiting global ascent in sunlight and local dispersion in rain. While DO has shown promise across domains, it grapples with challenges, particularly rapid convergence in early stages and difficulty escaping local optima. This paper introduces an improved version, IDO, addressing these issues by enhancing the initial population generation method. Performance comparisons on CEC'22 test functions and engineering-constrained design problems demonstrate that IDO outperforms other algorithms, showcasing superior robustness.