A modified ant colony algorithm for evolutionary design of digital circuits

被引：8

作者：

Abd-El-Barr, M ^{[1
]}

Sait, SM ^{[1
]}

Sarif, BAB ^{[1
]}

Al-Saiari, U ^{[1
]}

机构：

[1] King Fahd Univ Petr & Minerals, Dept Comp Engn, Dhahran 31261, Saudi Arabia

来源：

CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS | 2003年

关键词：

D O I：

10.1109/CEC.2003.1299645

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Evolutionary computation presents a new paradigm shift in hardware design and synthesis. According to this paradigm, hardware design is pursued by deriving inspiration from biological organisms. The new paradigm is expected to radically change the synthesis procedures in a way that can help discovering novel designs and/or more efficient circuits. In this paper, a multiobjective optimization of logic circuits based on a modified Ant Colony (ACO) algorithm is presented. The performance of the proposed algorithm is evaluated using a set of randomly generated circuits. The results obtained using the proposed algorithm are compared to those obtained using existing ACO-based techniques. It is shown that the designed circuits using the proposed algorithm outperform those of the existing techniques.

引用

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页码：708 / 715

页数：8

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