Cuckoo Search Algorithm with Hybrid Factor Using Dimensional Distance

Lin, Yaohua; Zhang, Cuiping; Zhong, Liu

doi:10.1155/2016/4839763

Cited by 9 publications

(9 citation statements)

References 43 publications

(96 reference statements)

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“…where Γ denotes the Gamma function while is a random number in range [0,2]. In this paper this value is selected to be 1.5 [49]. According to [50], updating concentration based on Lèvy distribution can be expressed as:…”

Section: Levy Spiral Flight Equilibrium Optimizermentioning

confidence: 99%

Optimal Power Flow Solution Using Levy Spiral Flight Equilibrium Optimizer With Incorporating CUPFC

et al. 2021

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Centre Node Unified Power Flow Controller (CUPFC) is a developed member of Flexible Alternating Current Transmission System (FACTS) connected at midpoint of transmission line. It has ability to control the power flow in transmission line (TL) as well as the voltage of the midpoint of TL. Solving the optimal power flow (OPF) problem is crucial task, and it became a difficult problem in case of integration FACTS devices into the system. Therefore, in this paper an efficient optimizer, namely Levy Spiral Flight Equilibrium Optimizer (LSFEO), is proposed for solving the OPF problem and determining the optimal allocation of CUPFC. The proposed algorithm is based on developing the Equilibrium Optimizer (EO) to enhance its searching capabilities. In this technique, two searching strategies are applied to enhance the exploration and exploitation processes of the traditional EO. The first strategy is based on Levy Flight Distribution to enable the optimizer to jump to new search areas for avoiding the stagnation of the traditional EO while the second strategy is based on spiral motion of the particles around the sorted best solution to boost the exploitation. The considered objective functions include fuel cost, fuel cost with valve point effect, emission, voltage deviations and the power losses. The validity and applicability of the proposed algorithm is demonstrated using the IEEE 30-bus system. The simulations verify the superiority of the proposed algorithm over the other reported algorithms. In addition, optimal inclusion of the CUPFC can reduce the cost, VD, losses, and emission considerably.

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Section: Levy Spiral Flight Equilibrium Optimizermentioning

confidence: 99%

Optimal Power Flow Solution Using Levy Spiral Flight Equilibrium Optimizer With Incorporating CUPFC

et al. 2021

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“…According to [10], Cuckoo Search using two random walks, Lévy Flights Random Walk (LFRW) and biased Random Walk (BRW). Lévy Flights Random Walk (LFRW) is a random walk with stepsize based on the Lévy distribution.…”

Section: Cuckoo Search Algorithmmentioning

confidence: 99%

Hybrid Artificial Neural Network with Extreme Learning Machine Method and Cuckoo Search Algorithm to Predict Stock Prices

2020

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This thesis aims to predict the stock prices, using artificial neural network with extreme learning machine (ELM) method and cuckoo search algorithm (CSA). Stock is one type of investment that is in great demand in Indonesia. The portion ownership of stock is determined by how much investment is invested in the company. In this case, stock is an aggressive type of investment instrument, because stock prices can change over time. In this case, ELM is used to determine forecasting values, while CSA is applied to compile and optimize the values of weights and biases to be used in the forecasting process. After obtaining the best weights and biases, the validation test process is then carried out to determine the level of success of the training process. The data used is the daily data of the stock price of PT. Bank Mandiri (Persero) Tbk. the total is 291 data. Furthermore, the data is divided into 70% for the training process is as many as 199 data and 30% for the validation test as many as 87 data. Then compiled pattern of training and validation test patterns is 198 patterns and 82 patterns. Based on the implementation of the program, with several parameter obtained the result of MSE training is 0.001304353, with an MSE of validation test is 0.0031517704. Because the MSE value obtained is relatively small, this indicates that the ELM-CSA network is able to recognize data patterns and is able to predict well.

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“…where and V are random numbers and obey the normal distribution; Γ is the standard Gamma function and is a parameter usually taken as 1.5 [29]. Therefore, the update formula of CS algorithm can be calculated as…”

Section: The Standard Cs Algorithmmentioning

confidence: 99%

“…where is discovery probability; 1 and 2 are two randomly selected solutions [29]. If the objective function of is smaller than ( + 1), is regarded as the next generation solution; otherwise ( + 1) would remain unchanged.…”

Section: The Standard Cs Algorithmmentioning

confidence: 99%

Optimal Power Flow Using Gbest‐Guided Cuckoo Search Algorithm with Feedback Control Strategy and Constraint Domination Rule

Chen

Qiu

Zhang

et al. 2017

Mathematical Problems in Engineering

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The optimal power flow (OPF) is well-known as a significant optimization tool for the security and economic operation of power system, and OPF problem is a complex nonlinear, nondifferentiable programming problem. Thus this paper proposes a Gbestguided cuckoo search algorithm with the feedback control strategy and constraint domination rule which is named as FCGCS algorithm for solving OPF problem and getting optimal solution. This FCGCS algorithm is guided by the global best solution for strengthening exploitation ability. Feedback control strategy is devised to dynamically regulate the control parameters according to actual and specific feedback value in the simulation process. And the constraint domination rule can efficiently handle inequality constraints on state variables, which is superior to traditional penalty function method. The performance of FCGCS algorithm is tested and validated on the IEEE 30-bus and IEEE 57-bus example systems, and simulation results are compared with different methods obtained from other literatures recently. The comparison results indicate that FCGCS algorithm can provide high-quality feasible solutions for different OPF problems.

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Cuckoo Search Algorithm with Hybrid Factor Using Dimensional Distance

Cited by 9 publications

References 43 publications

Optimal Power Flow Solution Using Levy Spiral Flight Equilibrium Optimizer With Incorporating CUPFC

Optimal Power Flow Solution Using Levy Spiral Flight Equilibrium Optimizer With Incorporating CUPFC

Hybrid Artificial Neural Network with Extreme Learning Machine Method and Cuckoo Search Algorithm to Predict Stock Prices

Optimal Power Flow Using Gbest‐Guided Cuckoo Search Algorithm with Feedback Control Strategy and Constraint Domination Rule

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