This paper investigates a new Agile Earth Observation Satellite (AEOS) mission planning
algorithm. This new developed algorithm is based on Modified Mixed-Integer Linear …

In this paper, mission planning for an earth observation satellite is studied. Generally, the
mission planning problem is known as a highly combinational problem. While exact …

This paper develops a campaign-level space logistics optimization framework that
simultaneously considers mission planning and spacecraft design using mixed-integer …

The increasing number of satellites for specific space missions is hindering efficient control
from the ground stations. In addition, the risk of failing or deteriorating elements in a multi …

The optimal design of a satellite constellation is a highly constrained, multidisciplinary
problem. The satellite constellation requires a flexible optimal deployment algorithm that can …

This paper presents an improved genetic algorithm to solve the agile earth observing
satellite mission planning problem. We study how to rapidly generate high quality initial …

This paper focuses on maximizing the percent coverage and minimizing the revisit time for a
small satellite constellation with limited coverage. A target area represented by a polygon …

This paper presents an onboard autonomous mission re-planning system for Multi-Satellites
System (MSS) to perform onboard re-planing in disruptive situations. The proposed re …

THE advantages of satellite constellations have long been appre-ciated, principally for their
coverage capabilities. Many mis-Received 14 January 2003; revision received 1 October …

This Paper proposes a two-step binary linear programming formulation for task scheduling
of a constellation of low-Earth-orbit satellites and demonstrates its applicability and …