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Natsuki Tanaka,Toshio Honma,Yohei Yokosuka 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.4
The computation procedure for structural shape optimization is based on the heuristic optimization procedures, such as swarm intelligence(SI), that use patterns found in self-organizing phenomena observed in nature. Most SI techniques including particle swarm optimization(PSO) and artificial bee colony (ABC), attain a global optimal solution. The firefly algorithm (FA) can attain both a global optimaland local optimal solutions by setting suitable computational parameters. However, the method for setting these parameters is comparativelydifficult. In order to simplify the setting of these parameters, we implement a computational scheme where the distance betweentwo fireflies in the design variable space is dimensionless. The effectiveness and the validity of this FA are clarified by showingthe diversified solution for a global optimal solution and local optimal solutions using a local search in the structural shape optimizationof a free-form surface shell.