The GENOCOPII uses two-step selection method and annealing penalty function, searches the optimum result from one single point.
GENOCOPII 系统采用两步选择方法和退火惩罚函数,从单一的随机初始点进行搜索。
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It considers point, line and interfacial defects in the context of structural transformations including annealing, spinodal decomposition, nucleation, growth, and particle coarsening.
Improving BP neural network with simulated annealing algorithm can overcome the defect of falling into local optimal point easily, and further improve the network performance.