A multidirectional Physarum solver for the automated design of space trajectories
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., GBR, pp. 2992-2999. ISBN 978-1-4799-6626-4 (https://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.
ORCID iDs
Masi, Luca ORCID: https://orcid.org/0000-0002-2597-945X and Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465;-
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Item type: Book Section ID code: 53956 Dates: DateEvent16 September 2014PublishedNotes: Date of Acceptance: 15/03/2014 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 StrathclydeDepositing user: Pure Administrator Date deposited: 11 Aug 2015 13:32 Last modified: 19 Sep 2024 00:28 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/53956