In multigravity-assist trajectory optimization, the size of the design space is a variable itself.
The objective functions are usually replete with local minima. This paper presents a multi …

Multiple gravity-assist (MGA) trajectory design requires the solution of a mixed-integer
programming problem to find the best sequence among all possible combinations of …

This paper presents spacecraft trajectory optimizations for deep-space missions requiring
multiple gravity-assists (MGA). The main algorithm is based on a self-adaptive/self-learning …

In this paper two strategies are proposed to de-orbit up to 10 non-cooperative objects per
year from the region within 800 and 1400 km altitude in Low Earth Orbit (LEO). The …

The scientific interest in near-Earth asteroids (NEAs) and the classification of some of those
as potentially hazardous for the Earth stimulated the interest in their exploration. Close-up …

Abstract Computational-Analytical Multi-fidElity Low-thrust Optimisation Toolbox (CAMELOT)
is a toolbox for the fast preliminary design and optimisation of low-thrust trajectories. It solves …

Solar polar detection can greatly enrich human understanding of the solar magnetic field.
However, accurate polar flybys are rarely involved in previous trajectory designs due to the …

The paper deals with the multiple gravity assist trajectories design. In order to improve the
performance of the heuristic algorithms, such as differential evolution algorithm, in multiple …

摘要多目标空间探测是经济理性的太空探索与开发方案, 它能以较低的花费获取巨大的收益.
多目标空间探测轨迹优化的优化空间巨大, 优化难度高, 始终是航天动力学中的研究热点 …

This paper proposes a semi-analytical method for multiple gravity-assist (MGA) opportunity
assessment, which can judge the feasibility of MGA sequences and predict corresponding …