This paper addresses a method to reduce computation time of optimization procedure for fixture layout based on a developing project self-reconfigurable swarm intelligent fixture system (SwarmItFIX) funded by European Commission FP7. The SwarmItFIX combines flexibility, self-reconfigurability, automation, and swarm multi-agent cooperation. Based on a developed optimization procedure which combines genetic algorithm with finite element analysis, the proposed method for reducing its computation time includes the simplified finite element modeling method, dynamic mutation probability and tree-database for adjusting the optimization algorithm. Simulation is finally used to prove the efficiency of the method proposed.
Reducing computation time in optimization procedure for fixture layout based on Swarmitfix
LI, XIONG;ZOPPI, MATTEO;MOLFINO, REZIA
2011-01-01
Abstract
This paper addresses a method to reduce computation time of optimization procedure for fixture layout based on a developing project self-reconfigurable swarm intelligent fixture system (SwarmItFIX) funded by European Commission FP7. The SwarmItFIX combines flexibility, self-reconfigurability, automation, and swarm multi-agent cooperation. Based on a developed optimization procedure which combines genetic algorithm with finite element analysis, the proposed method for reducing its computation time includes the simplified finite element modeling method, dynamic mutation probability and tree-database for adjusting the optimization algorithm. Simulation is finally used to prove the efficiency of the method proposed.
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