A novel hybrid spiral-dynamics bacterial-foraging algorithm for global optimization with application to control design

2012 ◽  
Author(s):  
A. N. K. Nasir ◽  
M. O. Tokhi ◽  
N. M. Abd Ghani ◽  
M. A. Ahmad
Keyword(s):  
Global Optimization ◽  
Control Design ◽  
Bacterial Foraging ◽  
Spiral Dynamics ◽  
Bacterial Foraging Algorithm

Bacterial Foraging Algorithm Based on Quantum-Behaved Particle Swarm Optimization for Global Optimization

2013 ◽  
Vol 655-657 ◽  
pp. 948-954 ◽  
Author(s):  
Ling Li ◽  
Xiong Fa Mai
Keyword(s):  
Global Optimization ◽  
Particle Swarm Optimization ◽  
Local Minimum ◽  
Random Search ◽  
Particle Swarm ◽  
Bacterial Foraging Optimization ◽  
Swarm Optimization ◽  
Bacterial Foraging ◽  
Bacterial Foraging Algorithm ◽  
Simulation Results

Bacterial Foraging Optimization(BFA) algorithm has recently emerged as a very powerful technique for real parameter optimization,but the E.coli algorithm depends on random search directions which may lead to delay in reaching the global solution.The quantum-behaved particle swarm optimization (QPSO) algorithm may lead to possible entrapment in local minimum solutions. In order to overcome the delay in optimization and to further enhance the performance of BFA,a bacterial foraging algorithm based on QPSO(QPSO-BFA) is presented.The new algorithm is proposed to combines both algorithms’ advantages in order to get better optimization values. Simulation results on eight benchmark functions show that the proposed algorithm is superior to the BFA,QPSO and BF-PSO.

An improved bacterial foraging algorithm for combined static/dynamic environmental economic dispatch

2012 ◽  
Vol 12 (11) ◽  
pp. 3500-3513 ◽  
Author(s):  
Nicole Pandit ◽  
Anshul Tripathi ◽  
Shashikala Tapaswi ◽  
Manjaree Pandit
Keyword(s):  
Environmental Economic ◽  
Economic Dispatch ◽  
Bacterial Foraging ◽  
Bacterial Foraging Algorithm
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