Design of 2-D Recursive Filters Using Self-adaptive Mutation Differential Evolution Algorithm
- 10.2991/ijcis.2011.4.4.20How to use a DOI?
- Two-dimensional recursive filters; Differential evolution; Self-adaptive mutation; Constrained optimization
This paper investigates a novel approach to the design of two-dimensional recursive digital filters using differential evolution (DE) algorithm. The design task is reformulated as a constrained minimization problem and is solved by an Self-adaptive Mutation DE algorithm (SAMDE), which adopts an adaptive mutation operator that combines with the advantages of the DE/rand/1/bin strategy and the DE/best/2/bin strategy. As a result, its convergence performance is improved greatly. Numerical experiment results confirm the conclusion. The proposedSAMDE approach is effectively applied to test a numerical example and is compared with previous design methods. The computational experiments show that the SAMDE approach can obtain better results than previous design methods.
- © 2011, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Lianghong Wu AU - Yaonan Wang AU - Xiaofang Yuan PY - 2011 DA - 2011/06/01 TI - Design of 2-D Recursive Filters Using Self-adaptive Mutation Differential Evolution Algorithm JO - International Journal of Computational Intelligence Systems SP - 644 EP - 654 VL - 4 IS - 4 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2011.4.4.20 DO - 10.2991/ijcis.2011.4.4.20 ID - Wu2011 ER -