Design of a two-dimensional recursive filter using the bees algorithm

This paper presents the first application of the bees algorithm to the optimisation of parameters of a two-dimensional (2D) recursive digital filter. The algorithm employs a search technique inspired by the foraging behaviour of honey bees. The results obtained show clear improvement compared to those produced by the widely adopted genetic algorithm (GA).

[1]  Nikos E. Mastorakis,et al.  Design of two-dimensional recursive filters by using neural networks , 2001, IEEE Trans. Neural Networks.

[2]  Hong-Xu Ma,et al.  Random fuzzy chance-constrained programming based on adaptive chaos quantum honey bee algorithm and robustness analysis , 2010, Int. J. Autom. Comput..

[3]  D.T. Pham,et al.  Application of the Bees Algorithm to the Training of Learning Vector Quantisation Networks for Control Chart Pattern Recognition , 2006, 2006 2nd International Conference on Information & Communication Technologies.

[4]  T. Kaczorek.  Two-Dimensional Linear Systems , 1985 .

[5]  T. Seeley.  The Wisdom of the Hive: The Social Physiology of Honey Bee Colonies , 1995 .

[6]  Xin-She Yang,et al.  Engineering Optimizations via Nature-Inspired Virtual Bee Algorithms , 2005, IWINAC.

[7]  Duc Truong Pham,et al.  Some applications of the bees algorithm in engineering design and manufacture , 2007 .

[8]  D. Karaboga,et al.  On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..

[9]  Guy Theraulaz,et al.  Self-Organization in Biological Systems , 2001, Princeton studies in complexity.

[10]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[11]  K. Frisch.  Bees: their vision, chemical senses, and language , 1950 .

[12]  Duc Truong Pham,et al.  PRELIMINARY DESIGN USING THE BEES ALGORITHM , 2007 .

[13]  Duc Truong Pham,et al.  The Bees Algorithm: Modelling foraging behaviour to solve continuous optimization problems , 2009 .

[14]  M.N.S. Swamy,et al.  Design of two-dimensional recursive filters using genetic algorithms , 2003 .

[15]  Marco Dorigo,et al.  Swarm intelligence: from natural to artificial systems , 1999 .

[16]  Spyros G. Tzafestas,et al.  Multidimensional Systems: Techniques and Applications , 1986 .

[17]  Sameh Otri,et al.  Data clustering using the bees algorithm , 2007 .

[18]  D.T. Pham,et al.  Optimising Neural Networks for Identification of Wood Defects Using the Bees Algorithm , 2006, 2006 4th IEEE International Conference on Industrial Informatics.

[19]  Duc Truong Pham,et al.  APPLICATION OF THE BEES ALGORITHM TO THE TRAINING OF RADIAL BASIS FUNCTION NETWORKS FOR CONTROL CHART PATTERN RECOGNITION , 2006 .

[20]  D. Pham,et al.  THE BEES ALGORITHM, A NOVEL TOOL FOR COMPLEX OPTIMISATION PROBLEMS , 2006 .

[21]  Ahmed Haj Darwish,et al.  Enhanced Bees Algorithm with fuzzy logic and Kalman filtering , 2009 .