Genetic algorithm for robotic telescope scheduling

TL;DR

This paper explores the application of genetic algorithms to optimize scheduling for both individual and networked robotic observatories, aiming to enhance autonomous astronomical imaging.

Contribution

It demonstrates the use of genetic algorithms for efficient scheduling in robotic telescopes and networks, advancing autonomous observatory software capabilities.

Findings

Genetic algorithms effectively optimize telescope scheduling.

Successful application to both single and networked observatories.

Improved scheduling efficiency demonstrated.

Abstract

This work was inspired by author experiences with a telescope scheduling. Author long time goal is to develop and further extend software for an autonomous observatory. The software shall provide users with all the facilities they need to take scientific images of the night sky, cooperate with other autonomous observatories, and possibly more. This works shows how genetic algorithm can be used for scheduling of a single observatory, as well as network of observatories.