Dholes-Inspired Optimization (DIO)

MATLAB implementation of the DIO algorithm based on dhole behavior

# Dholes-Inspired Optimization (DIO) Algorithm

This repository provides the official MATLAB implementation of the **Dholes-Inspired Optimization (DIO)** algorithm, a novel nature-inspired metaheuristic inspired by the **cooperative hunting, vocal communication, and territorial behavior** of the dhole (*Cuon alpinus*), also known as the Asiatic wild dog.

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## 🧠 Overview

DIO is designed to solve complex, high-dimensional optimization problems by mimicking the **adaptive and cooperative strategies** observed in dhole packs. The algorithm introduces several novel mechanisms for balancing exploration and exploitation, including:

- Vocalization-based adaptive influence control

- Dynamic leadership (Lead Vocalizer)

- Cooperative movement influenced by neighboring solutions

- Territorial constraints to preserve search boundaries

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## 📄 Citation

If you use this code in your research, please cite the following paper:

> **Ali El Romeh\*, Vaclav Snasel, Seyedali Mirjalili\*\***

> *Dholes-Inspired Optimization (DIO): A Nature-Inspired Algorithm for Engineering Optimization Problems*

> Cluster Computing, 2025, DOI: []

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## 📂 Contents

- `DIO.m` – Main algorithm file implementing DIO

- `main.m` – Sample script to run DIO on benchmark functions

- `Get_Functions_details.m` – Loads benchmark functions and their properties

- `func_plot.m` – Plots search space and performance metrics

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## ▶ How to Run

1. Clone or download this repository.

2. Open MATLAB.

3. Run the `main.m` file.

```matlab

main