A multidirectional Physarum solver for the automated design of space trajectories

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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.
Original languageEnglish
Number of pages8
Publication statusPublished - 6 Jul 2014
Event2014 IEEE Congress on Evolutionary Computation, CEC 2014 - Beijing, United Kingdom
Duration: 6 Jul 201411 Jul 2014

Conference

Conference2014 IEEE Congress on Evolutionary Computation, CEC 2014
CountryUnited Kingdom
CityBeijing
Period6/07/1411/07/14

Keywords

  • physarum solver
  • multidirectional
  • automated design
  • space trajectory design

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  • Cite this

    Masi, L., & Vasile, M. (2014). A multidirectional Physarum solver for the automated design of space trajectories. Paper presented at 2014 IEEE Congress on Evolutionary Computation, CEC 2014, Beijing, United Kingdom.