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检索条件"主题词=Whale optimization algorithm"

共 1208 条记录，以下是321-330 订阅

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A binary Sine Cosine-Modified whale optimization algorithm for Feature Selection 4

A binary Sine Cosine-Modified Whale Optimization Algorithm f...

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IEEE 4th National Computing Colleges Conference (NCCC)

作者： Eid, Marwa M. El-kenawy, El-Sayed M. Ibrahim, Abdelhameed Delta Higher Inst Engn & Technol Mansoura Egypt Mansoura Univ Fac Engn Mansoura Egypt

ISBN: (纸本)9781728167190

The increase of many pillars within the dataset makes it needed to pick the best part of features. The feature selection approach directly influences the performance of the style in terms of integrity and computational information. The wrapper feature choice version deals with the function set to improve the category reliability. In this paper, a new wrapper feature selection binary formula is intended based upon the Sine Cosine algorithm (SCA) and a modified whale optimization algorithm (MWOA). This algorithm (Binary SC-MWOA) was associated with obtaining unassociated characteristics and selecting the optimum features. The proposed formula's attractive outcomes reveal the algorithm's performance for picking the best features. Ten different UCI Repository datasets are checked in the experiments.

关键词： optimization Meta-heuristics Feature Selection whale optimization algorithm Sine Cosine 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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Path Planning of Underwater Vehicles Based on Improved whale optimization algorithm 6

Path Planning of Underwater Vehicles Based on Improved Whale...

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6th International Conference on Automation, Control and Robotics Engineering (CACRE)

作者： Li, Guangqiang Dong, Wenchao Wang, Yongjie Zhu, Daqing Liu, Qi Dalian Maritime Univ Sch Marine Elect Engn Dalian Peoples R China

ISBN: (纸本)9781665435765

In order to better solve path planning problems of underwater vehicles on complicated seabed terrains under ocean currents, a global path planning method based on whale optimization algorithm (WOA) is proposed. We focus on the fixed-depth navigation, and the underwater environment is modeled based on the MAKLINK graph. Three criteria of the length, smoothness and energy cost are used to evaluate a path. Considering that the original WOA algorithm lacks of balance in the exploration and exploitation at different positions in the search space and is easy to fall into local optima, the improved whale optimization algorithm (IWOA) is presented. The proposed algorithm creates an adaptive elite set by selecting best individuals from the population, and the members of the set will be randomly selected to be combined into new individuals to guide the searching process of the proposed algorithm. The corresponding guidance strategy is that the search agents update the position directionally based on the locations and orientations of the new individuals, replacing the encircling update centered on the position of prey in the original algorithm. Dijkstra algorithm is utilized for "coarse-grained planning" of path planning, and an approach to augment the waypoints is developed to cooperate with the proposed IWOA to complete the "fine-grained planning". Above two-step planning forms the global path planning method proposed in this paper. The simulation results show that the proposed method is feasible and effective through testing under different circumstances. Compared with original WOA, paths planned by proposed method and IWOA have higher qualities, with shorter lengths, smoother paths and more energy saving.

关键词： path planning whale optimization algorithm underwater vehicles

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Autonomous Mission Planning for Multi-Agile Earth. Observation Satellites Using whale optimization algorithm

Autonomous Mission Planning for Multi-Agile Earth. Observati...

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Chinese Automation Congress (CAC)

作者： Gao, Xinzhou Zhang, Haibo Yu, Tianhang Ma, Guangfu Gao, Duozhi Harbin Inst Technol Dept Control Sci & Engn Harbin Peoples R China Beijing Inst Control Engn Beijing Peoples R China Southwest Univ Dept Elect Informat Engn Chongqing Peoples R China

ISBN: (纸本)9781728176871

In this paper, the whale optimization algorithm is used to realize the mission planning of Multi-Agile Earth Observation Satellites for multiple target points. First of all, in the face of the observation problem of multi-satellite multi-target points, the fitness function, which satisfies the constraints faced by satellites when observing target points, is proposed in this paper. Secondly, in order to solve the task allocation problem of Multi-satellite to Multi-target points, a task allocation method based on the maximal time window is proposed in this paper. Next, the new whale optimization algorithms that have emerged in recent years is introduced in this paper. Considering that there has been no research on applying this algorithm to the mission planning problem so far, this paper proposes a method to map its iterative formula from the real number domain to the observation sequence domain based on the iterative characteristics of the whale optimization algorithm. This method enables the whale optimization algorithm to realize the iteration of the satellite observation sequence. Finally, the effectiveness of the whale optimization algorithm in sohing the multi-satellite multi-target points planning problem is verified by simulation experiments.

关键词： mission planning and allocation agile earth observation satellite whale optimization algorithm

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Electrical Parameters Extraction of Diode Using whale optimization algorithm 2

Electrical Parameters Extraction of Diode Using Whale Optimi...

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2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC)

作者： Garoudja, Elyes Filali, Walid Oussalah, Slimane Lekoui, Fouaz Amrani, Rachid Ctr Dev Technol Avancees CDTA Plateforme Technol Microfabricat Cite 20 Aout 1956 Algiers 16081 Algeria Ctr Dev Technol Avancees CDTA Div Microelect & Nanotechnol Cite 20 Aout 1956 Algiers 16081 Algeria Ctr Dev Technol Avancees CDTA Div Milieux Ionises & Laser Cite 20 Aout 1956 Algiers 16081 Algeria Univ Benyoucef Benkhedda Alger 1 Dept Sci Matiere Algiers Algeria

ISBN: (纸本)9798350349740;9798350349757

In this paper, we propose a new method based on an heuristic algorithm, which is called whale optimization algorithm (WOA) to extract the main electrical parameters of a diode, such as saturation current, ideality factor, and series resistance. WOA is an efficient optimization algorithm that imitates the humpback whales natural hunting strategy. Three operators are used to mimic humpback whales behaviors of bubble-net foraging, surrounding, and searching for prey. The findings of the suggested model are compared with analytical and experimental current-voltage data, and they are shown to be in good agreement.

关键词： diode I-V characteristic heuristic algorithm whale optimization algorithm parameters extraction

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Research on selective harmonic elimination technology based on enhanced whale optimization algorithm 21

Research on selective harmonic elimination technology based ...

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21st IEEE International Conference on Mechatronics and Automation (IEEE ICMA)

作者： Li, Weijie Zhang, Wenyi Harbin Engn Univ Coll Intelligent Syst Sci & Engn Harbin Peoples R China

ISBN: (纸本)9798350388084;9798350388077

The key of inverter selective harmonic elimination technology lies in solving nonlinear transcendental equations. This paper takes a two-level three-phase bridge inverter circuit as an example, establishes its mathematical model from its output voltage, then constructs an evaluation function, and verifies the feasibility of the enhanced whale optimization algorithm in a selective harmonic elimination technology through MATLAB/Simulink simulation. At the same time, the simulation results also show that the DC voltage utilization rate of the three-phase inverter controlled by the selective harmonic elimination technology based on the enhanced whale optimization algorithm can reach 1.063, which is superior to the traditional Newton iterative method and SPWM technology in DC voltage utilization rate and harmonic elimination efficiency.

关键词： Inverter selective Harmonic Elimination whale optimization algorithm Nonlinear transcendental equations

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Design of Low-Cost Fuzzy Controllers with Reduced Parametric Sensitivity Based on whale optimization algorithm

Design of Low-Cost Fuzzy Controllers with Reduced Parametric...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： David, Radu-Codrut Precup, Radu-Emil Preitl, Stefan Szedlak-Stinean, Alexandra-Iulia Roman, Raul-Cristian Petriu, Emil M. Politehn Univ Timisoara Dept Automat & Appl Informat Timisoara Romania Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada

ISBN: (数字)9781728169323

ISBN: (纸本)9781728169323

The aim of this paper is to demonstrate the feasibility of whale optimization algorithm (WOA) in solving complex control design and tuning problems of fuzzy control systems (FCSs) with a reduced parametric sensitivity. The sensitivity analysis of these FCSs implies the use of sensitivity models defined with respect to the parametric variations of the processes. The main goal is solving the optimization problems defined for servo system processes controlled by Takagi-Sugeno-Kang proportional-integral fuzzy controllers (TSK PI-FCs), through minimization of objective functions that include the output sensitivity functions. A design method is proposed in this regard, and it is validated through experimental results using a laboratory nonlinear servo system.

关键词： experimental validation fuzzy control system parametric sensitivity whale optimization algorithm

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Turkey Long-Term Energy Consumption Prediction Using whale optimization algorithm 29

Turkey Long-Term Energy Consumption Prediction Using Whale O...

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29th IEEE Conference on Signal Processing and Communications Applications (SIU)

作者： Babaoglu, Merve Haznedar, Bulent Mardin Artuklu Univ Bilgisayar Programciligi Mardin Turkey Gaziantep Univ Bilgisayar Muhendisligi Gaziantep Turkey

ISBN: (纸本)9781665436496

Energy is one of the most important topics for the sustainable development of countries. Due to the fact that the energy used can be depleted, it imports many energy sources, and environmental factors, it is of great importance for Turkey to predict how much energy needs may be in the future. In this study, whale optimization algorithm (BOA) was preferred from heuristic algorithms in order to be able to estimate Turkey's energy demand until 2040. In order to determine the performance of the whale optimization algorithm, the results were compared with the genetic algorithm (GA). All models are arranged linearly and squared and the result is obtained. Data for independent variables such as gross domestic product (GDP), population, imports and exports affecting energy demand were used between 1990 and 2019. Modeling of the past 30 years has been provided to calculate the accuracy of the results. After obtaining the most suitable model, calculations were made according to 4 different scenarios for the next 20 years.

关键词： whale optimization algorithm Genetic algorithm Turkey Energy Consumption Predict

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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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