Dandelion Optimizer

Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications.

This paper proposes a novel swarm intelligence bioinspired optimization algorithm, called the Dandelion Optimizer (DO), for solving continuous optimization problems. CEC2017 benchmark functions are utilized to evaluate the performance of DO, including the optimization accuracy, stability, convergence, and scalability. In addition, the applicability of DO is verified by solving 4 real-world optimization problems.The experimental results indicate that the proposed DO method is a higher performing optimizer with outstanding iterative optimization and strong robustness compared with well-established algorithms.

Cite this paper as: Zhao S., Zhang T., Ma S., & Chen M, (2022) Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications, Engineering Applications of Artificial Intelligence, 114, 105075. DOI: 10.1016/j.engappai.2022.105075

It has been consistently selected for ESI-HOT Paper/Highly Cited Papers since July 2023.

The paper can be seen at: https://www.sciencedirect.com/science/article/abs/pii/S0952197622002305