Adaptive clonal competition algorithm and its application in automatic electroplating production line scheduling
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    Abstract:

    Aiming at small batch and multi-type electroplating production scheduling system with flexible process, an adaptive clonal competition algorithm(ACCA)is proposed. The capability of searching the global optimal value and the local optimal value of the new algorithm can be adjusted through the function between the cloning and mutation probability and the number of iterations. Besides, the population diversity of the adaptive clonal competition algorithm can be ensured through the competition mechanism, the elite migration mechanism and the raising new members mechanism. Compared with traditional clonal selection algorithm, adaptive clonal competition algorithm has higher searching ability and faster convergence speed.

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王时龙,冷林霞,周杰,朱哲岐,李世龙.自适应克隆竞争算法在自动化电镀生产线调度中的应用[J].重庆大学学报,2013,36(7):12~15

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  • Online: July 19,2013
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