(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization
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Updated
Jun 25, 2021 - Python
(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization
Bacterial Foraging Optimization Algorithm in C
Swarming is a Python3 library that features both parallel and serial implementation of the Particle Swarm Optimization (PSO) algorithm.
Efficient Time-series Forecasting using Neural Network and Opposition-based Coral Reefs Optimization
Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization
Development of a Centralized Drone Controller System for Drone Show Project
Python implementation of an Evolution based Optimization algorithm, named Cat Swarm Optimization
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.
bin packing problem best fit and metaheuristics. genetic algorithm, bonus particle swarm optimization. comparing both algorithms
Ant Colony Optimization in Julia
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