A hybrid genetic algorithm and bacterial foraging approach for global optimization
Information Sciences: an International Journal
Improved Bacterial Foraging Algorithms and Their Applications to Job Shop Scheduling Problems
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Cooperative Approaches to Bacterial Foraging Optimization
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Cooperative bacterial foraging algorithm for global optimization
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
New inspirations in swarm intelligence: a survey
International Journal of Bio-Inspired Computation
Numerical optimization using synergetic swarms of foraging bacterial populations
Expert Systems with Applications: An International Journal
Vehicle routing problem with time windows based on adaptive bacterial foraging optimization
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Bacterial Foraging Optimization
International Journal of Swarm Intelligence Research
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In this paper, design approach of PID controller with multivariable system is proposed using bacterial foraging based optimal algorithm. To tune PID controller for multivariable system, disturbance rejection conditions based on H∞ are illustrated and the performance of response based on the bacterial foraging is computed for the designed PID controller as ITSE (Integral of time weighted squared error). Hence, parameters of PID controller are selected by bacterial foraging based optimal algorithm to obtain the required response.