Design of optimal disturbance rejection PID controllers usinggenetic algorithms
IEEE Transactions on Evolutionary Computation
A hybrid genetic algorithm and bacterial foraging approach for global optimization
Information Sciences: an International Journal
Option model calibration using a bacterial foraging optimization algorithm
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
International Journal of Bio-Inspired Computation
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This paper deals with hybrid system (GA-BF) based on the conventional GA (Genetic Algorithm) and BF (Bacterial Foraging) which is social foraging behavior of bacteria for AVR system. This approach provides us with novel hybrid model based on foraging behavior and with also a possible new connection between evolutionary forces in social foraging and distributed nongradient optimization algorithm design for global optimization over noisy surfaces for AVR system.