{"id":24503085,"url":"https://github.com/suleimanelkhoury/ec-scheduler","last_synced_at":"2026-04-12T13:55:07.054Z","repository":{"id":252002743,"uuid":"839090221","full_name":"suleimanelkhoury/ec-scheduler","owner":"suleimanelkhoury","description":"Three implemented evolutionary strategies using DEAP to optimize energy scheduling tasks. 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This project provides a comprehensive solution for optimizing and scheduling general energy resources. It consists of three main components:\n\n1. **Optimization Method (`ec-scheduler`)**:\n   This part of our work implements three various evolutionary algorithms using the DEAP (Distributed Evolutionary Algorithms in Python) library. It includes:\n   - **`NSGA2.py`** : Non-dominated Sorting Genetic Algorithm II.\n   - **`PSO.py`** : Particle Swarm Optimization.\n   - **`CMAES.py`** : Covariance Matrix Adaptation Evolution Strategy.\n   - **`ea_utils.py`**: This file contains the helper, statistics, plotting, and parallelization functionalities for each evolutionary algorithms.\n   - **`Strategy.py`**: This file contains the strategy logic for generating and updating the population in CMA-ES.\n   - **`genotyp_phenotyp.py`**: This file contains logic used to convert chromosomes into the corresponding scheduling plans, and send and receive the values to and from the Mockup Scheduler.\n   - **`main.py`**: This file contains the main Flask app for the project.\n   - **`container_handling.py`**: This file contains the logic for handling the containers on the IAI cluster using Kubernetes.\n\n2. **Mockup Scheduler (`mockup_scheduler`)**:\n   This component simulates the scheduling of five different types of energy facilities:\n   - Photovoltaic (solar panels)\n   - Wind Turbine\n   - Two Batteries\n   - Combined Heat and Power Plant\n\n3. **User Interface (`user_interface`)**:\n   Built using PyQt5, this component provides a graphical interface to interact with the optimization methods. It allows users to configure and execute optimization tasks and view results.\n\n## **Getting Started**\n\nTo get started with **ec-scheduler**, simply execute the `start_services.sh` script to build and run the necessary Docker containers. This script handles the setup and execution of all services required for the project.\n\n## **Project Structure**\n\n- **`start_services.sh`**: Script to build and run Docker containers.\n- **`delete_services.sh`**: Script to delete Docker containers.\n- **`optimization_method`**: Directory for the optimization methods.\n- **`mockup_scheduler`**: Directory for a simple mockup scheduler project.\n- **`user_interface`**: Directory for the PyQt5 UI.\n\n## **Contributing**\n\nContributions are welcome! To contribute, please fork the repository and submit a pull request.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuleimanelkhoury%2Fec-scheduler","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsuleimanelkhoury%2Fec-scheduler","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuleimanelkhoury%2Fec-scheduler/lists"}