In order to match the basic load of the power grid and the charging demand of electric
vehicles, this paper fully considers the high pollution and non-renewability of coal-fired …

The traveling salesman problem (TSP) is one of the best-known combinatorial optimization
problems. Many methods derived from TSP have been applied to study autonomous vehicle …

The disordered charging behavior of large-scale electric vehicles will have an
immeasurable impact on the distribution grid. How to simultaneously solve the demand for …

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) …

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 …

This article proposes a two-stage optimization framework to simultaneously solve the orbit
design and mission scheduling problems of on-orbit refueling (OOR) systems in Sun …

Efficient satellite communications play an enormously important role in all of our daily lives.
This includes the transmission of data for communication purposes, the operation of IoT …

In this study, a control strategy for on-orbit satellite refueling is proposed and experimentally
evaluated, with a particular focus on mitigating the fuel sloshing disturbance during the …

With the rapid development of on-orbit services and space situational awareness, there is an
urgent demand for multisatellite flyby inspection (MSFI) that can obtain information about a …

The on-orbit servicing (OOS) mission planning problem for multiple geosynchronous earth
orbit (GSO) satellites is a critical issue due to its huge economic value. However, given the …