Bacterial foraging optimization and tabu search: performance issues and cooperative algorithms

Authors:
Nuapett Sarasiri;Sarawut Sujitjorn
Affiliations:
School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand;School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand
Venue:
ISTASC'10 Proceedings of the 10th WSEAS international conference on Systems theory and scientific computation
Year:
2010

Citing 3
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Abstract

This article presents comparison studies of the search performances between the adaptive bacterial foraging optimization (ABFO), the adaptive tabu search (ATS) and the cooperative algorithms thereof. Assessment scenario adopts some 3D surface optimization problems, one of which contains many global solutions. The computing results are elaborated, and indicate the superiority of the cooperative BF-TS algorithms. The article also presents an application of the proposed algorithms to the control of a hard disk head-stack.