Velocity Modulated Bacterial Foraging Optimization Technique (VMBFO)

Authors:
Sastry V. R. S. Gollapudi;Shyam S. Pattnaik;O. P. Bajpai;Swapna Devi;K. M. Bakwad
Affiliations:
Department of ETV & ECE, NITTTR, Chandigarh 160019, India;Department of ETV & ECE, NITTTR, Chandigarh 160019, India;U.I.E.T., Kurushektra University, Kurushektra 136119, India;Department of ETV & ECE, NITTTR, Chandigarh 160019, India;Department of ETV & ECE, NITTTR, Chandigarh 160019, India
Venue:
Applied Soft Computing
Year:
2011

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Abstract

In this paper, a Velocity Modulated Bacterial Foraging Optimization Technique is proposed. The Bacterial Foraging algorithm is hybridized with Particle Swarm Optimization technique to reduce the convergence time while maintaining high accuracy. The hybridized optimization technique is tested on various benchmark functions like Sphere, Rosenbrock, Generalized Rastrigin, Griewank and Ackley. In addition to these, the proposed algorithm is also tested to calculate the resonant frequency of Rectangular Microstrip Antenna. The results are compared with the existing algorithms and that of experimental results and are found to be in good agreement.