Title :
Form finding algorithm inspired by ant’s foraging behavior
Author :
Mitsui, Kazuo ; Sogabe, Hiroyuki
Author_Institution :
Nihon Univ., Chiba
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;
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
DOI :
10.1109/BIMNICS.2007.4610142