IEEE

Nutcracker Genetic Algorithm for Task Scheduling in UAV Swarm MECwith Adaptive Caching

Abstract: The effectiveness of autonomous Unmanned Aerial Vehicle (UAV) swarms in providing reliable Mobile Edge Computing (MEC) services is critically dependent on two conflicting performance metrics ...
IEEE

A Flexible Job-Shop Scheduling Problem: A Case Study of VICT Company

Abstract: The Flexible Job-shop Scheduling Problem (FJSP) is a modification of the classical Job-shop Scheduling Problem (JSP). In FJSP, jobs consist of multiple operations, each of which can be ...
Scientific Research Publishing

Solomon, M.M. (1987) Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints. Operations Research, 35, 254-265.

ABSTRACT: Effective household waste management in developing cities requires optimization approaches adapted to local constraints. This article proposes a methodological framework for bi-weekly ...
GitHub

An intelligent scheduling system that automatically generates optimized class schedules using generative AI algorithms. Built with Python and machine learning techniques to ...

apps/ ├── account/ # User authentication and profiles └── schedule/ # Timetable scheduling └── services/ # AI algorithms (genetic algorithm engine) ├── genetic_algorithm.py # Core AI engine └── ...
GitHub

Feature Request: Add CPU Scheduling Algorithms Simulator

Implement a CPU Scheduling Algorithms Simulator using Streamlit to visualize and compare different CPU scheduling strategies interactively. This feature will allow users to simulate various scheduling ...