Satellite mission scheduling based on genetic algorithm

Abstract

Purpose

The purpose of this paper is to describe a new satellite mission scheduling (SMS) problem based on an genetic algorithm (GA).

Design/methodology/approach

The SMS involves scheduling tasks to be performed by a satellite, where new task requests can arrive non‐deterministically (i.e. at any time) and must be scheduled in real‐time. This paper investigates algorithmic approaches for determining an optimal or near‐optimal sequence of tasks, allocated to a satellite payload over time, with dynamic tasking considerations.

Findings

Simulation results show that the proposed approach is effective and efficient when utilized in actual cases.

Originality/value

This paper shows how to adopt the GA search approach to generate an SMS within allowable computation time.

Citation

Sun, B., Wang, W., Xie, X. and Qin, Q. (2010), "Satellite mission scheduling based on genetic algorithm", Kybernetes, Vol. 39 No. 8, pp. 1255-1261. https://doi.org/10.1108/03684921011063538