Python implementation of swarm algorithms used for solving non-convex optimization problems
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Updated
Jul 24, 2020 - Python
Python implementation of swarm algorithms used for solving non-convex optimization problems
Implementation of beehive method (particle swarm optimization) for global optimization of multidimentional functions
A visualization tool for various pathfinding algorithms. (Best-Project Ever)
Several swarm behavior approaches have been coded
implement several kinds of swarm algorithm to Maxium Power Point Tracking(MPPT)
Parallel Asynchronous Particle Swarm Optimization in Clojure
A Balanced Teaching Learning Based Optimization Algorithm. This project was developed under supervision of Dr. Keyvan RahimiZadeh and in collabotion with Prof. R. Venkata Rao.
🚁 Software framework for vision-based quadrotor multi-robot systems
The 2022 Gamma Team Integrated Swarm System Demo Repository
Simple robot swarm construction simulation using pygame
A simulator for visualizing both informed and uninformed path-finding / searching algorithms
This project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. To classify chest X-ray images into three categories: COVID-19 positive, pneumonia positive, and normal. To achieve this, we utilize the COVID-19 Chest X-ray dataset available on Kaggle.
The source code of my bachelor thesis, which topic was: "Modelling of dispersive optical properties of DBRs using swarm algorithms".
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