The optimisation of low-acceleration interstellar relativistic rocket trajectories using genetic algorithms

Kenneth K H Fung; Geraint F Lewis; Xiaofeng Wu

doi:10.1016/j.actaastro.2017.01.033

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arXiv · 1702.00030

The optimisation of low-acceleration interstellar relativistic rocket trajectories using genetic algorithms

Kenneth K H Fung·Geraint F Lewis·Xiaofeng Wu

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Abstract

A vast wealth of literature exists on the topic of rocket trajectory optimisation, particularly in the area of interplanetary trajectories due to its relevance today. Studies on optimising interstellar and intergalactic trajectories are usually performed in flat spacetime using an analytical approach, with very little focus on optimising interstellar trajectories in a general relativistic framework. This paper examines the use of low-acceleration rockets to reach galactic destinations in the least possible time, with a genetic algorithm being employed for the optimisation process. The fuel required for each journey was calculated for various types of propulsion systems to determine the viability of low-acceleration rockets to colonise the Milky Way. The results showed that to limit the amount of fuel carried on board, an antimatter propulsion system would likely be the minimum technological requirement to reach star systems tens of thousands of light years away. However, using a low-acceleration rocket would require several hundreds of thousands of years to reach these star systems, with minimal time dilation effects since maximum velocities only reached about 0.2c. Such transit times are clearly impractical, and thus, any kind of colonisation using low acceleration rockets would be difficult. High accelerations, on the order of 1g, are likely required to complete interstellar journeys within a reasonable time frame, though they may require prohibitively large amounts of fuel. So for now, it appears that humanity's ultimate goal of a galactic empire may only be possible at significantly higher accelerations, though the propulsion technology requirement for a journey that uses realistic amounts of fuel remains to be determined.

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Kenneth K H Fung, Geraint F Lewis, Xiaofeng Wu. 2017-01-28. The optimisation of low-acceleration interstellar relativistic rocket trajectories using genetic algorithms. https://doi.org/10.1016/j.actaastro.2017.01.033

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