TY - GEN
T1 - Fuzzified Ant Colony optimization algorithm for efficient combinational circuits synthesis
AU - Sarif, Bambang A.B.
AU - Abd-Ei-Barr, Mostafa
AU - Sait, Sadiq M.
AU - Al-Saiari, Uthman
PY - 2004
Y1 - 2004
N2 - With the increasing demand for high quality, more efficient, less areaand less power circuits, the problem of logic circuit design has become a multiobjective optimization problem. In this paper, multiobjective optimization of logic circuits based on a fuzzified Ant Colony (ACO) algorithm is presented. The results obtained using the proposed algorithm are compared to those obtained using SIS in terms of area, delay and power for some known circuits. It is shown that the circuits produced by the proposed algorithm are better as compared to those obtained by SIS.
AB - With the increasing demand for high quality, more efficient, less areaand less power circuits, the problem of logic circuit design has become a multiobjective optimization problem. In this paper, multiobjective optimization of logic circuits based on a fuzzified Ant Colony (ACO) algorithm is presented. The results obtained using the proposed algorithm are compared to those obtained using SIS in terms of area, delay and power for some known circuits. It is shown that the circuits produced by the proposed algorithm are better as compared to those obtained by SIS.
UR - https://www.scopus.com/pages/publications/4344570762
M3 - Conference contribution
AN - SCOPUS:4344570762
SN - 0780385152
SN - 9780780385153
T3 - Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
SP - 1317
EP - 1324
BT - Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
ER -