蚁群算法在算术电路进化设计中的应用

Proceedings of the 12th IEEE International Conference on Fuzzy Systems (Cat. No.03CH37442) Pub Date : 2003-12-01 DOI:10.1109/ICM.2003.238612

M. Abd-El-Barr, S. M. Sait, Bambang A. B. Sarif

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引用次数: 11

摘要

进化计算是一个新的研究领域，在这个领域中，硬件设计是通过从生物有机体中获得灵感来追求的。这种新模式有望从根本上改变合成过程，从而发现新的设计和/或更有效的电路。提出了一种基于蚁群优化算法的算法电路多目标优化设计策略。并与其他方法的结果进行了比较。

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Ant colony algorithm for evolutionary design of arithmetic circuits

Evolutionary computation is a new field of research in which hardware design is pursued by deriving inspiration from biological organisms. This new paradigm is expected to radically change the synthesis procedures in a way that allows discovering novel designs and/or more efficient circuits. In this paper, a multi objective optimization strategy for design of arithmetic circuits based on Ant Colony optimization algorithm is presented. Results are compared with those obtained using other techniques.

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Proceedings of the 12th IEEE International Conference on Fuzzy Systems (Cat. No.03CH37442)

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