WSEAS Transactions on Circuits and Systems
Print ISSN: 1109-2734, E-ISSN: 2224-266X
Volume 13, 2014
Ant Colony Optimization for Optimal Low-Pass Butterworth Filter Design
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Abstract: Performance analog filters depend strongly values of discrete components (Resistors and capacitors) which are selected from the series following constant values chosen. Exhaustive search on all possible combinations of value choices for an optimized design is not feasible. The metaheuristics have proved a capacity to treat such problem effectively. In this paper, we present an optimization algorithm based on the Ant Colony Optimization (ACO) technique for dealing with the active filter design. The ACO algorithm is applied to the Low-Pass Butterworth Filter Design realized with components selected from different manufactured series. SPICE simulations are used to validate the obtained result/performances. A comparison with published works is highlighted.
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Pages: 313-318
WSEAS Transactions on Circuits and Systems, ISSN / E-ISSN: 1109-2734 / 2224-266X, Volume 13, 2014, Art. #35