objective grey wolf optimizer (MOGWO)
Long-term load forecasting using grey wolf optimizer -least-squares support vector machine
... LSSVM, Grey Wolf Optimizer (GWO) is hybridized to obtain the optimal parameters of LSSVM namely ...The objective of the optimization is to minimize the value of ...Lion Optimizer – ...
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Probit Based Grey Wolf Optimal Route Path Discovery In Internet Of Vehicles
... Colony Optimizer was developed [14] for efficient communication with high delivery ratio and minimum ...multiple objective functions to solve the optimization ...
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Grey wolf optimizer for solving economic dispatch problem with valve loading effects
... into solving the ED problems. The implementation of the GWO is to find of the optimal power output for each generation aimed is to minimize the objective function (cost) while fulfilling all the constraints ...
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Novel Methodology to Optimize the Architecture of Multi Layer Feed Forward Neural Network Using Grey Wolf Optimizer (GWO MLP)
... connection weight of i th neuron from input layer to j th neuron in competitive layer. There are total c number of neurons in competitive layer. The applied optimization technique needs an objective function which ...
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Spatial fuzzy c-mean sobel algorithm with grey wolf optimizer for MRI brain image segmentation
... Spatial FCM (SFCM) was proposed by Chuang et al. (Chuang et al., 2006). This algorithm could resolve FCM noise issue by making modification to FCM objective function and considering the intensity values of ...
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Locating of Series FACTS Devices for Multi-Objective Congestion Management Using Components of Nodal Prices
... Abstract: Congestion and overloading for lines are the main problems in the exploitation of power grids. The consequences of these problems in deregulated systems can be mentioned as sudden jumps in prices in some parts ...
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A Novel Adaptive Grey Wolf Optimizer for Global Numerical Optimization
... In past, many optimization algorithms based on gradient search for solving linear and non-linear equation but in gradient search method value of objective function and constraint unstable and multiple peaks if ...
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Price predictive analysis mechanism utilizing grey wolf optimizer least squares support vector machines
... In this study, a hybridization of GWO-LSSVM is proposed for gold price predictive analysis. The main objective is to obtain an optimal value for the free hyper parameters of LSSVM in order to achieve good ...
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Grey Wolf Optimization for Multi Input Multi Output System
... study, grey wolf optimizer (GWO) technique is applied to multi-input multi-output electric power systems, to determine the optimum location and sizing of installing (STATCOM) devices in power systems ...
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Particle Swarm Optimization (PSO) Inspired Grey Wolf Optimization (GWO) Algorithm
... Grey wolf optimizer (GWO) algorithm described by Mirjalili [1] which is modeledfrom the hunting strategy of grey wolves. With results comparable to particle swarm optimization (PSO) and other ...
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Grey Wolf Optimizer for Economic Dispatch Issues
... Optimization issues are usually met in several fields in science and technology. Because of the actual and practical nature of the objective function or the model constraint these issues can be very difficult. ED ...
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Solving Economic Dispatch Problems By Using Grey Wolf Optimization Technique
... called Grey Wolf Optimizer (GWO) inspired by grey wolves(Canis lupus) to solved problem of ...reliable Grey Wolf Optimization (GWO) technique for the economic load dispatch ...
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ANALYSING THE EFFICASY OF GWO AND PSO IN DEVELOPING OPTIMISED MODEL OF C5.O LINKED TO ASSCOCIATION RULES IN DETERMINING OPTIMISERS TO PREDICT EMPLOY ATTRITION
... Predicting the attrition of employee based on 5 selected attributes which are Gender, Distance from Home, Environment Satisfaction, Work Life Balance and Education Field out of 36 variables present in the dataset. ...
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Grey Wolf Optimization for Economic Load Dispatch with Valve-Point Effects
... As we know that the grey wolf firstly recognizes the prey and then encircles them to hunt. The hunt is usually decided by alpha and beta, delta also participate in hunting occasion. So mathematically in the ...
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ENHANCED GREY WOLF OPTIMIZER FOR MEDICAL DATASET.
... High dimensional data classification becomes challenging task because data are large, complex to handle, heterogeneous and hierarchical. In order to reduce the data set without affecting the classifier accuracy. The ...
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A New ELECTRE-II Approach Using Separation Method And Grey Subjective-Objective Weights' Allocation Scheme
... the Grey MCDM approach proposed ...proposed Grey MCDM approach decomposes the problem into MCDM sub-problems and then aggregates the ranks of the sub- problems into final rank after solving each sub-problem ...
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Formulation of Improved Grey Wolf Optimization Methodology for EELD Problem
... A latest meta-heuristic technique IGWO (Improved Grey Wolf Optimization) is being formulated to solve Economic Emission Load Dispatch Problem in this paper. And the results have been compared with various ...
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Investigation of Risks in Reengineering Process Using Grey Wolf Optimization Algorithm
... Currently, alongsideprogressing development in the comprehensive techniques, handlingthe much complicated and ambiguous challengeswill beunavoidable. So, the requirement of techniques thatrealizes complicated and ...
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Acoustic localization at large scales: a promising method for grey wolf monitoring
... Background: The grey wolf ( Canis lupus ) is naturally recolonizing its former habitats in Europe where it was extirpated during the previous two centuries. The management of this protected species is often ...
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The Training and Application of RBF Neural Network Based on GWO
... To RBF neural network, it is important and difficult to determine the three vectors: the hidden center vector Φ whose dimension is Nr*Nh, Gaussian RMS width vector Θ whose dimension is Nh*1 and the hidden-output weight ...
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