A micro-bacterial foraging algorithm for high-dimensional optimization

Authors:
Sambarta Dasgupta;Arijit Biswas;Swagatam Das;Bijaya Ketan Panigrahi;Ajith Abraham
Affiliations:
Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India;Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India;Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India;Department of Electrical Engineering, Indian Institute of Technology, Delhi, India;Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, Norway and Machine Intelligence Research Labs
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

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Abstract

Very recently bacterial foraging has emerged as a powerful technique for solving optimization problems. In this paper, we introduce a micro-bacterial foraging optimization algorithm, which evolves with a very small population compared to its classical version. In this modified bacterial foraging algorithm, the best bacterium is kept unaltered, whereas the other population members are reinitialized. This new small population µ-BFOA is tested over a number of numerical benchmark problems for high dimensions and we find this to outperform the normal bacterial foraging with a larger population as well as with a smaller population.