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: 2014 IEEE Congress on Evolutionary Computation, CEC 2014, 2014-07-06 - 2014-07-11.

PDF. Filename: Masi_Vasile_CEC_2014_A_multidirectional_physarum_solver_automated_design_space_trajectories_Jul_2014.pdf Accepted Author Manuscript Download (308kB)

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.

• Share and Export
  

  RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationOpenURL ContextObjectEndNoteOpenURL ContextObject in SpanMODSMPEG-21 DIDLEP3 XMLData Cite XMLRIS (EndNote Online, Zotero, Ref manager, etc)RDF+N3Multiline CSV
• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	52250
  Dates:	Date Event 6 July 2014 Published 15 April 2014 Accepted
  Subjects:	Technology > Mechanical engineering and machinery Technology > Motor vehicles. Aeronautics. Astronautics
  Department:	Faculty of Engineering > Mechanical and Aerospace Engineering Technology and Innovation Centre > Advanced Engineering and Manufacturing
  Depositing user:	Pure Administrator
  Date deposited:	18 Mar 2015 10:39
  Last modified:	09 Apr 2024 06:03
  Related URLs:	Event
  URI:	https://strathprints.strath.ac.uk/id/eprint/52250