Hybrid Bacterial Foraging and Tabu Search Optimization (BTSO) Algorithms for Lyapunov's Stability Analysis of Nonlinear Systems
Suphaphorn Panikhom, Sarawut Sujitjorn · 2010
This article presents brief descriptions of the bacterial foraging optimization (BFO), the tabu search (TS) and the hybrid algorithms thereof namely bacterial foraging-tabu search optimization (BTSO) algorithms. The proposed hybrid BTSO algorithms perform search rapidly, and render a high-quality solution according to the operation of the adaptive tabu search (ATS). The BTSO algorithm is applied to stability analysis of linear and nonlinear systems based on the Lyapunov's methods. The stability analysis results are compared with the threshold accepting (TA) method. The article also covers the reviews of the TA and the Lyapunov's methods, respectively.