• DocumentCode
    2720031
  • Title

    Form finding algorithm inspired by ant’s foraging behavior

  • Author

    Mitsui, Kazuo ; Sogabe, Hiroyuki

  • Author_Institution
    Nihon Univ., Chiba
  • fYear
    2007
  • fDate
    10-12 Dec. 2007
  • Firstpage
    343
  • Lastpage
    348
  • Abstract
    This paper presents an effective method for designing structures using cellular automata, representing a simple conceptual basis for the self-organization of structural systems. The method is sufficiently simple to solve topology optimization problems as pure 0-1 problems, and yet sufficiently complex to express a wide variety of complicated topologies. A local rule about birth and death of cells, that is a new idea from pheromonepsilas properties of ants, is introduced in order to search for solutions. The effectiveness of the present method is demonstrated through numerical examples of the typical topology optimization problem.
  • Keywords
    cellular automata; optimisation; topology; 0-1 problem; ant foraging behavior; cellular automata; form finding algorithm; pheromone property; self-organization; structural system; topology optimization; Algorithm design and analysis; Automata; Design methodology; Finite element methods; Genetic algorithms; Optimization methods; Permission; Shape; Stress; Topology; cellular automaton; heuristics; morphogenesis; self-organization; structural optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Models of Network, Information and Computing Systems, 2007. Bionetics 2007. 2nd
  • Conference_Location
    Budapest
  • Print_ISBN
    978-963-9799-05-9
  • Electronic_ISBN
    978-963-9799-05-9
  • Type

    conf

  • DOI
    10.1109/BIMNICS.2007.4610142
  • Filename
    4610142