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检索条件"主题词=whale optimization algorithm"

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Comparison of Grasshopper and whale optimization algorithm for Design of FACTS Controller with Power System Stabilizer 5

Comparison of Grasshopper and Whale Optimization Algorithm f...

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5th IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC)

作者： Sahu, Preeti Ranjan Hota, Prakash Kumar Panda, Sidhartha Veer Surendra Sai Univ Technol Dept Elect Engn Burla 768018 India

ISBN: (纸本)9781728106465

Recently, Grasshopper optimization algorithms (GOA) and whale optimization algorithm (WOA) technique have significant consideration among different meta-heuristic optimization techniques. GOA is a newly proposed nature inspired algorithm based on social behavior of grasshopper. The WOA technique is also comparatively modern meta-heuristic method, which mimics the behavior of humpback whales. Both the optimization techniques are popular in industry and science mainly because of their simplicity, avoidance of local optima and gradient free mechanism. These two methods are assumed to discover an appropriate solution considering a given objective work. The major goal of this controller design is to increase the stability of power system. Here, both GOA and WOA techniques are employed to optimize the parameters of the designed static synchronous series compensator (SSSC) controller with power system stabilizer (PSS). The proposed conventional lead-lag SSSC controller with PSS are optimized by using both GOA and WOA optimization techniques and tested under single-machine infinite bus system. At last, the simulation results of both GOA and WOA techniques are verified by considering different loading conditions.

关键词： Grasshopper optimization algorithm whale optimization algorithm Flexible AC Transmission System Controller Lead-Lag Controller Power System Stability

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A modified whale optimization algorithm based on Chaos Initialization and Regulation Operation

A modified Whale Optimization Algorithm based on Chaos Initi...

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第三十八届中国控制会议

作者： JIANG Ruiye CHAO Tao WANG Songyan YANG Ming Harbin Institute of Technology

A rising meta-heuristic swarm intelligent computation algorithm, the whale optimization algorithm（WOA）, which has been proved competitive with other intelligent optimization algorithms in solving different optimization problems. To accelerate the convergence rate of WOA, this paper has proposed a new improved whale optimization algorithm, called Chaos Regulation whale optimization algorithm（CRWOA）. The chaotic map generator composed with three kinds of chaotic maps has been used to initialize the population. Furthermore, Cauchy distribution and Gauss distribution are introduced to regulate the position in each iteration. To analyze the superiority of CRWOA further, ten single-objective benchmark test functions are chosen. Through the comparison and analysis of the optimal results, CRWOA is demonstrated superior in general. It has faster convergence speed and better results than the other algorithms when less iteration number, less population quantity and wider ranges of variables are set.

关键词： Benchmark functions Chaotic map Computation intelligence Continuous probability distribution whale optimization algorithm

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Economic dispatch using stochastic whale optimization algorithm

Economic dispatch using stochastic whale optimization algori...

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International Conference on Innovative Trends in Computer Engineering (ITCE)

作者： Mohamed, FatmaAlzahra Abdel-Nasser, Mohamed Mahmoud, Karar Kamel, Salah Aswan Univ Dept Elect Engn Aswan 81542 Egypt

ISBN: (纸本)9781538608791

Economic dispatch aims to determine the optimal generated power from the generation units to meet the required load at the lowest fuel cost. In this paper, a stochastic whale optimization (SWO) method is proposed to solve the economic dispatch problem. whale optimization algorithm is enhanced using mutation and crossover operators. To test the proposed method two systems (3 and 10 generating units) are tested. We compare the proposed SWO algorithm with whale optimization algorithm, artificial bee colony algorithm, dragonfly algorithm, ant lion algorithm, gray wolf optimization, and whale optimization algorithm with mutation only. The obtained results demonstrate the high efficiency of the proposed method compared with the other methods.

关键词： Economic Dispatch Smart Grid whale optimization algorithm

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Stabilization of a reduced order inverted pendulum by using whale optimization algorithm 4

Stabilization of a reduced order inverted pendulum by using ...

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4th International Conference on Computing Communication Control and Automation (ICCUBEA)

作者： Guha, Dipayan Singh, Shivam Kumar Sharma, Shubham Kumar Ranjan, Ravi Kant Priya, Swati Ghosh, Arnab Motilal Nehru Natl Inst Technol Elect Engn Dept Allahabad Uttar Pradesh India Dr B C Roy Engn Coll Elect Engn Dept Durgapur W Bengal India Natl Inst Technol Elect Engn Dept Rourkella Odisha India

ISBN: (纸本)9781538652572

In this paper, an attempt has been made to develop an efficient control algorithm for the stabilization of an inverted pendulum. A novel stochastic optimization technique namely whale optimization algorithm (WOA) is employed to search the optimum settings of proportional-integral-derivative controller with derivative filter (PIDF). The proposed WOA mimics bubble net hunting mechanism of humpback whales in nature. The main advantage of this algorithm is that only population size and maximum iteration count are required for its operation. Logarithmic approximation and time-moments have been adopted to formulate the reduced order model (ROM) of inverted pendulum. The results presented in this paper clearly show that proposed control algorithm with ROM exhibit satisfactory outputs and effectively increases the stability margin of inverted pendulum.

关键词： Inverted pendulum whale optimization algorithm Logarithmic approximation Time-moments Transient analysis

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Optimal PID Controller Design of DC-DC Buck Converter using whale optimization algorithm

Optimal PID Controller Design of DC-DC Buck Converter using ...

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International Conference on Artificial Intelligence and Data Processing (IDAP)

作者： Hekimoglu, Baran Ekinci, Serdar Kaya, Serhat Batman Univ Dept Elect & Elect Engn Batman Turkey Batman Univ Dept Comp Engn Batman Turkey

ISBN: (纸本)9781538668788

This paper presents a novel design method to determine optimal proportional-integral-derivative (PID) controller parameters of a DC-DC buck converter using the whale optimization algorithm (WOA). The simplicity of the proposed algorithm provides fast and high quality tuning of optimum PID controller parameters effectively. The performance of the proposed WOA-based PID controller is validated using a time domain performance index. From simulation results, the proposed method compared to the genetic algorithm was found more efficient in improving the transient response of Buck converter.

关键词： whale optimization algorithm DC-DC buck converter output voltage regulation PID controller parameter tuning

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Linear unequally spaced array synthesis for sidelobe suppression with different aperture constraints using whale optimization algorithm 13

Linear unequally spaced array synthesis for sidelobe suppres...

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13th IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Zhang, Chengyan Fu, Xiongjun Peng, Shuilian Wang, Yi Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China CETC Res Inst 54 Shijiazhuang 050081 Hebei Peoples R China

ISBN: (纸本)9781538637586

In this paper, the whale optimization algorithm (WOA) is introduced and applied to the synthesis of uniformly excited broadside linear unequally spaced arrays for sidelobe suppression with different aperture constraints. Two design examples of pattern synthesis with fixed and unfixed array aperture respectively have been chosen to illustrate the effectiveness and superiority of WOA when compared to synthesis techniques described in literature. The results show that the WOA achieves lowest maximum sidelobe level relative to other state-of-the-art algorithms in two design cases. The WOA results and convergence tests demonstrate superior applicability of this novel optimization algorithm.

关键词： unequally spaced array whale optimization algorithm sidelobe suppression

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Calibration of Fundamental Diagram for Macroscopic Freeway Traffic Flow Model Using whale optimization algorithm

Calibration of Fundamental Diagram for Macroscopic Freeway T...

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International Conference on Image and Signal Processing and their Applications (ISPA)

作者： Asmaa Ouessai Mokhtar Keche Signals and images laboratory University of Sciences and Technology Oran Algeria

ISBN: (纸本)9781728131573

Speed-density relationships also referred as fundamental diagram (FD), play a central role in traffic flow theory and transportation engineering. However, the main problem in developing the FDs reside in the way their parameters are selected. In this paper we use the whale optimization algorithm (WOA) to calibrate the unknown parameters of the FD, this algorithm is compared with Complex-Box algorithm that is well used in the literature. The obtained results confirm that the traffic model developed using WOA is more accurate and thus, the traffic classification rate obtained using the proposed system including the WOA was significantly increased.

关键词： Macroscopic traffic flow models Fundamental diagram whale optimization algorithm Complex-Box algorithm Classification fundamental diagram Taxonomy Traffic models Traffic flow theory optimization algorithms whale Unknown parameter Calibration

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A Spark-based Distributed whale optimization algorithm for Feature Selection

A Spark-based Distributed Whale Optimization Algorithm for F...

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IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems

作者： Hongwei Chen Zhou Hu Lin Han Qiao Hou Zhiwei Ye Jiansen Yuan Jun Zeng School of Computer Science Hubei University of Technology Wuhan Fiberhome Technical Services Co. Ltd.

ISBN: (纸本)9781728140704

With the rapid development of the Internet and big data technologies, high-dimensional data generated in various fields has increased dramatically. Feature selection is an effective way to solve data processing problems caused by high dimensionality and high computational complexity. The traditional feature selection method shows the problem of insufficient classification accuracy and low processing efficiency when dealing with high-dimensional and large-scale data. The traditional feature selection method shows low classification accuracy and low processing efficiency when dealing with high-dimensional and large-scale data. This paper proposed a feature selection method based on whale optimization algorithm to learn mining feature selection rules, then improve the accuracy of feature selection. However, when the data size is very large, the efficiency of single node execution is low. Therefore, this paper combined the whale optimization algorithm with the parallel computing model of the Spark platform, and proposed a feature selection method based on the Spark platform for distributed whale optimization algorithm. The results showed that the excellent result search ability of the whale optimization algorithm combined with the distributed and efficient calculation speed can realize the efficient solution of the feature selection optimization model.

关键词： Feature selection whale optimization algorithm Spark platform Parallel computing Feature extraction selection methods PARALLEL PROCESSING (COMPUTERS) optimization algorithms whale data size Distribute

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Optimal Selection of Voltage Sag Mitigating Devices using whale optimization algorithm for Small and Medium Sized Customers in Distribution System 2

Optimal Selection of Voltage Sag Mitigating Devices using Wh...

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2nd International Conference on Energy, Power and Environment - Towards Smart Technology (ICEPE)

作者： Mitra, Rituparna Gope, Sadhan Goswami, Arup Kumar Tiwari, Prashant Kumar Natl Inst Technol Silchar Dept Elect Engn Silchar Assam India Mizoram Univ Dept Elect Engn Aizawl India

ISBN: (纸本)9781538647691

Small and medium sized customers emerge and plays a pivotal role in modern times due to rapid urbanization. Small and medium customers are constituted by domestic user, big malls, hospitals, educational institutions, medium and small sized traders. This medium and tiny sector deserves uninterrupted hassle free and quality power for their daily run. Interruption in power distribution affects distributors' image, revenue lost (cost incurred for production of power is not recovered from clientele) can be eradicated by using the concept of placing voltage sag mitigating devices. Optimal selection of voltage sag mitigating devices is based on the parameters like capacity, size, cost and load factors (for specific placement of devices). whale optimization algorithm has been applied as tool. Loss of energy/power is avoided culminating save of energy and economic gain.

关键词： Distribution System Voltage Sag Voltage Sag Mitigating Devices whale optimization algorithm

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Design and Implementation of whale optimization algorithm Based PIDF Controller for AGC Problem in Unified System 1

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2nd International Conference on Soft Computing Systems (ICSCS)

作者： Satapathy, Priyambada Mishra, Sakti Prasad Sahu, Binod Kumar Debnath, Manoj Kumar Mohanty, Pradeep Kumar Siksha O Anusandhan Deemed Be Univ Bhubaneswar Odisha India

ISBN: (数字)9789811319365

ISBN: (纸本)9789811319365;9789811319358

Design aspect of controller mechanism to regulate the load frequency in an interconnected generating system is usually regarded as an optimization issue with various constraints. As per the need of the designer, the controller must be designed to fulfill the desired requirements to yield a suitable solutions. This paper presents whale optimization algorithm (WOA) based conventional proportional integral derivative type controller where a filter is employed in the derivative part of the controller for a two area combined thermal power system. The derivative filter is included here to reduce the unwanted signal in the input side of the controller. In the optimization process time based error function is taken as fitness function (ITAE) for designing controller parameters. The performance ability of the controller is modeled with MATLAB Simulink package. The efficiency and dominace of recommended WOA tuned PIDF controller is compared with Jaya based PIDF controller using time domain simulations which validates the effectiveness of WOA based proposed controller employed in the aforesaid dual area combined power system.

关键词： whale optimization algorithm PID with derivative filter controller Automatic generation control

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