Thesis GitHub Repository

This repository contains the supplementary code and problem instances used in the research conducted for my thesis on optimizing Resource-Constrained Project Scheduling with Variable Activity Durations (RCPSP-VAD) with metaheuristics. This README provides an overview of the repository's contents.

Contents

1. Code: The eaplanner directory contains the Python source code for the implementation of various metaheuristic algorithms and the interpretation of the RCPSP-VAD. The necessary scripts and configuration files for running the experiments are located in run. Unit tests for the code are located in tests.

2. Instances: The instances directory holds a collection of problem instances used for experimentation. These instances encompass a range of problem sizes, complexities, and characteristics, providing a dataset for evaluating the metaheuristic algorithms. Instances are organized into subdirectories based on the number of activities in them.

3. Results: The results directory contains the results obtained from running the experiments with the code.