Grey wolf optimizer
ELMAN Neural Network with Modified Grey Wolf Optimizer for Enhanced Wind Speed Forecasting
... Modified Grey Wolf Optimizer ...between Grey Wolf Optimizer (GWO), Adaptive Gbest-guided Gravitational Search Algorithm (GGSA), Artificial Bee Colony (ABC), Ant Colony ...
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Grey wolf optimizer for solving economic dispatch problem with valve loading effects
... Grey Wolf Optimizer (GWO) was first introduced by [8]. It is considered as a top level of predators and residing at the top in the food chain. They live in a pack which consists of 5-12 wolves on ...
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Energy Optimization in Wireless Sensor Networks Using Grey Wolf Optimizer
... the Grey Wolf Optimizer (GWO) (Al-Aboody et ...The grey wolf optimization algorithm is one of the newest superconductor algorithms inspired by the hierarchical structure of the wolf's ...
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Long-term load forecasting using grey wolf optimizer -least-squares support vector machine
... Therefore, Grey Wolf Optimizer - Least Square Support Vector Machine(GWO-LSSVM) is proposed to solve long-term load forecasting ...of grey wolves in ...
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Price predictive analysis mechanism utilizing grey wolf optimizer least squares support vector machines
... A good selection of Least Squares Support Vector Machines (LSSVM) hyper-parameters' value is crucial in order to obtain a promising generalization on the unseen data. Any inappropriate value set to the hyper parameters ...
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Blind Voice Separation Based on Empirical Mode Decomposition and Grey Wolf Optimizer Algorithm
... gray wolf optimization algorithm is ...using grey wolf optimizer algorithm as a population-based meta- heuristic method to achieve unknown coefficients of the unmixing ...
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A Novel Adaptive Grey Wolf Optimizer for Global Numerical Optimization
... Grey Wolf Optimizer have an ability to find out optimum solution with constrained handling which includes both equality and inequality constraints. While obtaining optimum solution constraint limits ...
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Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning
... with grey wolf optimizer (GWO) has been developed to solve the problem of HS parameter ...Intelligence, Grey wolf optimizer, Harmony search, Hybrid algorithm, ...
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Identification of Parameters of Richards Equation Using Modified Hybrid Grey Wolf Optimizer-Genetic Algorithm (HmGWOGA)
... which is a meshless method. We used Modified Grey Wolf Optimizer-Genetic Algorithm (HmGWOGA) to determine parameters of Richards equation using synthetic data and real data. Comparison with the ...
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Application of Grey Wolf Optimizer Algorithm for Optimal Power Flow of Two-Terminal HVDC Transmission System
... years, Grey Wolf Optimizer (GWO) algorithm has been applied in power systems for solving combined economic emission dispatch problems [18], studying the blackout risk prevention in a smart grid based ...
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Novel Methodology to Optimize the Architecture of Multi Layer Feed Forward Neural Network Using Grey Wolf Optimizer (GWO MLP)
... From the above literature survey the authors have decided to implement this methodology for maximum two number of hidden layers because majority of the real applications can be covered by two hidden layers. Also it is ...
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Grey Wolf Optimizer-Based Approaches to Path Planning and Fuzzy Logic-based Tracking Control for Mobile Robots
... The Grey Wolf Optimizer (GWO) algorithm [40] mimics grey wolf behaviour towards finding the prey, which actually models the solution to the optimization problem ...
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ENHANCED GREY WOLF OPTIMIZER FOR MEDICAL DATASET.
... of grey wolves Cheng et ...The grey wolf optimizer is a meta-heuristic technique ...[12], Grey Wolf Optimizer (GWO) [13], Fruit Fly Optimization Algorithm (FFOA), Bat ...
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A New Variant Of Grey Wolf Optimizer For Global Optimization
... X.-S. Yang said about firefly algorithm. Firefly algorithm is inspired by the behavior of fireflies and the motion. The main aim is mating of fireflies. The less bright firefly will be attracted towards the brighter one. ...
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Optimum Network Reconfiguration using Grey Wolf Optimizer
... constraints. Grey Wolf Optimizer (GWO) is a recently developed metaheuristic search algorithm inspired by the leadership hierarchy and hunting strategy of grey wolves in ...
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Spatial fuzzy c-mean sobel algorithm with grey wolf optimizer for MRI brain image segmentation
... A region based segmentation algorithm called Fuzzy c-Mean (FCM) which was first proposed by Bezdek (1981) is used as the basis of the medical image segmentation algorithm in this resea[r] ...
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Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer
... dominant wolf leaders using the sinusoidal chaotic map; 3) a local exploitation scheme based on an enhanced spiral search with symmetrical oscilla- tions; 4) probability distribution-based leader ...
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Grey Wolf Optimizer for Economic Dispatch Issues
... To sum up, the optimization method for GWO is starting with making a random population of grey wolves which can be termed as candidates of solution. During the simulation, alpha, beta and delta wolves guess the ...
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Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer
... Abstract—Recently, nature inspired algorithms (NIA) have been implemented to various fields of optimization problems. In this paper, the implementation of NIA is reported to solve the overcurrent relay coordination ...
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Omega grey wolf optimizer (ωGWO) for optimization of overcurrent relays coordination with distributed generation
... Wei, Y., Ni, N., Liu, D., Chen, H., Wang, M., Li, Q., . . . Ye, H. (2017). An Improved Grey Wolf Optimization Strategy Enhanced SVM and Its Application in Predicting the Second Major. Mathematical Problems ...
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