Cloud Resource Allocation using Particle Swarm Optimization approach | Flutter Project Demo

This project implements a Particle Swarm Optimization (PSO) algorithm to address cloud resource allocation challenges. The app is built using Flutter and demonstrates how PSO can be applied to optimize the allocation of cloud resources like CPU, Memory, and Bandwidth to various tasks.

Features:
Dynamic Resource Allocation: Allocate CPU, Memory, and Bandwidth to tasks using PSO.
Random Data Generation: Generate random tasks and resources to simulate different scenarios.
Performance Metrics: Display Mean Squared Error (MSE) and Mean Absolute Error (MAE) metrics.
Visualization: Shows a line chart of fitness progress and resource allocation details.

GitHub: https://github.com/praneshp1org/cloud-reso...
Contact: https://www.praneshpyarashrestha.com.np/