A hybrid Particle Swarm Optimization and Bacterial Foraging for optimal Power System Stabilizers design

Elazim, S.M. Abd; Ali, E. S.

doi:10.1016/j.ijepes.2012.10.047

Cited by 119 publications

(64 citation statements)

References 30 publications

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“…In addition, Abd-Elazim and Ali developed an optimization algorithm BSO, which synergistically coupled the BFOA with the particle swarm optimization algorithm for the optimal design of the TCSC damping controller. Specifically, they transformed the controller design problem into an optimization problem, and the BSO was developed to find the optimal controller parameters [20]. Sur and Shukla also presented a discrete adaptive BFO algorithm, which could be applied to discrete search domains and various multidimensional problems [21].…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Chaotic S‐Box: Intertwining Logistic Map and Bacterial Foraging Optimization

Tian

2017

Mathematical Problems in Engineering

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As the unique nonlinear component of block ciphers, Substitution box (S-box) directly affects the safety of a cryptographic system. It is important and difficult to design strong S-box that simultaneously meets multiple cryptographic criteria such as bijection, nonlinearity, strict avalanche criterion (SAC), bit independence criterion (BIC), differential probability (DP), and linear probability (LP). Though many chaotic S-boxes have been proposed, the cryptographic performance of most of them needs to be further improved. A new chaotic S-box based on the intertwining logistic map and bacterial foraging optimization is designed in this paper. It firstly iterates the intertwining logistic map to construct many S-boxes and then applies a bacterial foraging optimization algorithm to find the optimal S-box. Moreover, bacterial foraging optimization algorithm considers the nonlinearity and differential uniformity as the fitness functions in the optimization process. We experiment that the proposed S-box can effectively resist multiple types of cryptanalysis attacks.

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Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Chaotic S‐Box: Intertwining Logistic Map and Bacterial Foraging Optimization

Tian

2017

Mathematical Problems in Engineering

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“…After the chemotactic movement the particles reach a new position P (i, j+1, k, l) in search space. The fitness value for this new position can be evaluated (14) and the best fitness value is again computed and stored as J last (11).…”

Section: Chemotaxismentioning

confidence: 99%

Hybrid BFPSO Approach for Effective Tuning of PID Controller for Load Frequency Control Application in an Interconnected Power System

Anbarasi¹,

Muralidharan²

2017

Journal of Electrical Engineering and Technology

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-Penetration of renewable energy sources makes the modern interconnected power systems to have more intelligence and flexibility in the control. Hence, it is essential to maintain the system frequency and tie-line power exchange at nominal values using Load Frequency Control (LFC) for efficient, economic and reliable operation of power systems. In this paper, intelligent tuning of the Proportional Integral Derivative (PID) controller for LFC in an interconnected power system is considered as a main objective. The chosen problem is formulated as an optimization problem and the optimal gain parameters of PID controllers are computed with three innovative swarm intelligent algorithms named Particle Swarm Optimization (PSO), Bacterial Foraging Optimization Algorithm (BFOA) and hybrid Bacterial Foraging Particle Swarm Optimization (BFPSO) and a comparative study is made between them. A new objective function designed with necessary time domain specifications using weighted sum approach is also offered in this report and compared with conventional objective functions. All the simulation results clearly reveal that, the hybrid BFPSO tuned PID controller with proposed objective function has better control performances over other optimization methodologies.

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“…The main idea of equation (17) is from bacterial foraging [13,14]. Repeat the same chemotaxis action, if the bee does not improve the food source more than Ns times, move to step 5.…”

Section: Inversion Algorithm For Torsion Wave Propagation In Pile Foumentioning

confidence: 99%

A New Torsion Wave Propagation Model Inversion Algorithm of Pile Foundation Based on Hybrid Artificial Bee Colony Algorithm

Kang¹,

Youdao²,

Tianwei³

2017

IJSIP

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A hybrid Particle Swarm Optimization and Bacterial Foraging for optimal Power System Stabilizers design

Cited by 119 publications

References 30 publications

Chaotic S‐Box: Intertwining Logistic Map and Bacterial Foraging Optimization

Chaotic S‐Box: Intertwining Logistic Map and Bacterial Foraging Optimization

Hybrid BFPSO Approach for Effective Tuning of PID Controller for Load Frequency Control Application in an Interconnected Power System

A New Torsion Wave Propagation Model Inversion Algorithm of Pile Foundation Based on Hybrid Artificial Bee Colony Algorithm

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