Abstract
Differential Evolution (DE) algorithm is a new heuristic approach which has been proposed particulary for numeric optimization problems. It is a population based algorithm like genetic algorithms using the similar operators; crossover, mutation and selection. In this work, DE algorithm has been applied to the design of fixed point digital Finite Impuls Response (FIR) filters and its performance has been compared to that of Genetic Algorithm (GA) and Least Squares Algorithm (LSQ).
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Karaboğa, N., Çetinkaya, B. (2005). Efficient Design of Fixed Point Digital FIR Filters by Using Differential Evolution Algorithm. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_99
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DOI: https://doi.org/10.1007/11494669_99
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26208-4
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