A multidirectional Physarum solver for the automated design of space trajectories

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Masi, Luca and Vasile, Massimiliano; (2014) A multidirectional Physarum solver for the automated design of space trajectories. In: Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers Inc., pp. 2992-2999. ISBN 9781479914883 (http://dx.doi.org/10.1109/CEC.2014.6900287)

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Abstract

This paper proposes a bio-inspired algorithm to automatically generate optimal multi-gravity assist trajectories. The multi-gravity assist problem has some analogies with the better known Traveling Salesman Problem and can be addressed with similar strategies. An algorithm drawing inspiration from the Physarum slime mould is proposed to grow and explore a tree of decisions that corresponds to the possible sequences of transfers from one planet to another. Some examples show that the proposed bio-inspired algorithm can produce solutions that are better than the ones generated by humans or with Hidden Genes Genetic Algorithms.

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Item metadata

Item type:	Book Section
ID code:	50606
Dates:	Date Event 1 January 2014 Published
Keywords:	aerospace control, Physarum slime mould, hidden genes genetic algorithms, multigravity assist problem, Mechanical engineering and machinery, Artificial Intelligence, Computational Theory and Mathematics, Theoretical Computer Science
Subjects:	Technology > Mechanical engineering and machinery
Department:	Faculty of Engineering > Mechanical and Aerospace Engineering Technology and Innovation Centre > Advanced Engineering and Manufacturing University of Strathclyde > University of Strathclyde
Depositing user:	Pure Administrator
Date deposited:	27 Nov 2014 16:43
Last modified:	27 Nov 2014 16:43
Related URLs:	Related item
URI:	https://strathprints.strath.ac.uk/id/eprint/50606

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