Trends in space technology development and rapidly increasing traffic in outer space are
likely to lead to the emergence of a market for services for the removal of large debris …

This paper proposes a novel large neighborhood search-adaptive genetic algorithm (LNS-
AGA) for many-to-many on-orbit repairing mission planning of geosynchronous orbit (GEO) …

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

With the increase of space debris, space debris removal has gradually become a major
issue to address by worldwide space agencies. Multiple debris removal missions, in which …

Traditional planetocentric low-thrust solutions mainly focus on orbital rephasing or transfer
maneuvers, while the rendezvous maneuver is more challenging to obtain and cannot be …

This paper investigates the use of evolutionary algorithms for the optimization of time‐
constrained impulsive multirendezvous missions. The aim is to find the minimum‐ΔV …

Abstract We present the Multi-Orbit Routing and Scheduling of Refuellable Space Robots for
On-Orbit Servicing optimization problem which determines how to best route and schedule a …

Upcoming active space debris removal missions will most likely attempt to remove several
objects per mission. The design of such missions involves the selection of the objects to be …

Satellites play an important role in such areas as environmental monitoring and disaster
prediction that are related to human survival and development. Satellite monitoring and …

Space debris has become a great threat to space activities. We study and optimize space
missions to remove multiple space debris. These missions are efficient and economical in …