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Sample Code Collection of Nature-Inspired Computational Methods

License: MIT License

MATLAB 54.77% HTML 5.77% C 0.05% M 0.20% C# 2.41% Python 17.62% Java 2.67% Jupyter Notebook 16.31% Procfile 0.01% Objective-C 0.18%
nature-inspired-algorithms nature-inspired-computation bio-inspired-optimization bio-inspired optimization optimization-algorithms

nature-inspired-algorithms's Introduction

Nature-Inspired-Algorithms

Collection of Nature-Inspired Computational Methods' Sample Codes

This repository contains sample codes for Nature-Inspired Computational Algorithms including optimization algorithms, each code may has it's own reference which is indicated in it's directory.

Reference

This repository is a part of a research on nature-inspired algorithms. Please cite it if you have used any of its results:

Shahin Darvishpoor, Amirsalar Darvishpour, Mario Escarcega, Mostafa Hassanalian, Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones, Drones, June 2023, https://doi.org/10.3390/drones7070427

Implementation

Implementation of most popular algorithms is available in NIA Package.

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