(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization

Swarming is a Python3 library that features both parallel and serial implementation of the Particle Swarm Optimization (PSO) algorithm.

Bacterial Foraging Optimization Algorithm in C

Efficient Time-series Forecasting using Neural Network and Opposition-based Coral Reefs Optimization

Ant Colony Optimization in Julia

bin packing problem best fit and metaheuristics. genetic algorithm, bonus particle swarm optimization. comparing both algorithms

Decentralized autonomous drone swarm defense simulation using PyBullet, heuristic coordination, and multi-agent interception strategies.

Development of a Centralized Drone Controller System for Drone Show Project

Python implementation of an Evolution based Optimization algorithm, named Cat Swarm Optimization

DHHFSP-WME (Distributed Heterogeneous Hybrid Flow-Shop Scheduling Problem with Worker–Machine–Environment Collaboration), gerçek üretim ortamlarının karmaşıklığını yansıtan üç boyutlu bir çizelgeleme problemidir. Zhang ve ark. (2026)

Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization

🧮 🎯 Non-convex Global Optimizer for locally symmetrical manifolds: SO(d), Stiefel & Grassmann Manifolds

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.