Dingo Optimization Algorithm (DOA)

A novel bio-inspired algorithm, namely Dingo Optimization Algorithm, is proposed for solving optimization problems.
791 Downloads
Updated 21 Sep 2021

View License

A novel bio-inspired algorithm, namely Dingo Optimization Algorithm (DOA), is proposed for solving optimization problems. The DOA mimics the social behavior of the Australian dingo dog. The algorithm is inspired by the hunting strategies of dingoes which are: attacking by persecution, grouping tactics, and scavenging behavior. In order to increment the overall efficiency and performance of this method, three search strategies associated with four rules were formulated in the DOA. These strategies and rules provide a fine balance between the intensification (exploitation) and diversification (exploration) over the search space. The proposed method is verified using several benchmark problems commonly used in the optimization field, classical design engineering problems, and optimal tuning of a Proportional-Integral- Derivative (PID) controller are also presented. Furthermore, the DOA's performance is tested against five popular evolutionary algorithms. The results have shown that the DOA is highly competitive with other metaheuristics, beating them at the majority of the test functions.
Paper:
doi: 10.1155/2021/9107547

Cite As

Peraza-Vázquez, Hernán, Peña-Delgado, Adrián F., et.al. A Bio-Inspired Method for Engineering Design Optimization Inspired by Dingoes Hunting Strategies. Mathematical Problems in Engineering. (2021). Hindawi. https://doi.org/10.1155/2021/9107547

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
1.0.2

Research paper online

1.0.1

Paper available

1.0.0