This project implements a genetic algorithm approach to solve the Resource-Constrained Project Scheduling Problem (SRCPSP), which is a well-known NP-hard optimization problem in operations research ...

Abstract: Scientific and data science applications are becoming more complex, with increasingly demanding computational and memory requirements during execution. Modern high performance computing (HPC ...

A comprehensive Python-based simulator for visualizing and comparing various CPU scheduling algorithms. This tool allows users to analyze algorithm performance based on key metrics like average ...

Abstract: Real-time systems are increasingly shifting from single processors to multiprocessors, where software must be parallelized to fully exploit the additional computational power. While the ...