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satDP

Dynamic Programming Algorithm for the Offline Nanosatellite Task Scheduling Problem (ONTS)

Overview

This repository contains a C++ implementation of a dynamic programming algorithm for solving the Offline Nanosatellite Task Scheduling Problem (ONTS). The algorithm is designed to optimize task scheduling for nanosatellites by considering various constraints and parameters specific to satellite operations.

Features

  • Dynamic programming approach for efficient optimization.
  • Parallel computing support to leverage multi-core processors.
  • Customizable parameters for versatile application scenarios.

Requirements

  • C++ Compiler (e.g., GCC, Clang)
  • OpenMP for parallel processing

Usage

  1. Define the required parameters for the scheduling problem, such as the number of jobs, covers, and time limits.
  2. Call the paralelismo or single functions depending on your need for solving all jobs or a specific one.
  3. The program will output the optimized schedule based on the provided parameters.

Functions

pricing_dp

Calculates the optimal scheduling using dynamic programming.

Parameters:

  • Job index, total number of jobs, covers, and other scheduling constraints.
  • Arrays for shadow prices, allow values, priorities, and various time constraints.

paralelismo

Handles parallel computation for multiple jobs.

Parameters:

  • Similar to pricing_dp, but designed to handle multiple jobs concurrently.

single

Calculates the profile for a single job.

Parameters:

  • Similar to pricing_dp, but tailored for a single job execution.

License

This project is licensed under GPL v3. Please see the LICENSE file for more details.

Contributions

Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.