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2007

A hybrid genetic algorithm and bacterial foraging approach for global optimization

8 years 4 months ago
A hybrid genetic algorithm and bacterial foraging approach for global optimization
The social foraging behavior of Escherichia coli bacteria has been used to solve optimization problems. This paper proposes a hybrid approach involving genetic algorithms (GA) and bacterial foraging (BF) algorithms for function optimization problems. We first illustrate the proposed method using four test functions and the performance of the algorithm is studied with an emphasis on mutation, crossover, variation of step sizes, chemotactic steps, and the lifetime of the bacteria. The proposed algorithm is then used to tune a PID controller of an automatic voltage regulator (AVR). Simulation results clearly illustrate that the proposed approach is very efficient and could easily be extended for other global optimization problems. Ó 2007 Elsevier Inc. All rights reserved.
Dong Hwa Kim, Ajith Abraham, Jae Hoon Cho
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where ISCI
Authors Dong Hwa Kim, Ajith Abraham, Jae Hoon Cho
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