[PDF] Top 20 A Novel Adaptive Grey Wolf Optimizer for Global Numerical Optimization
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A Novel Adaptive Grey Wolf Optimizer for Global Numerical Optimization
... A novel bio-inspired optimization algorithm based on the hunting process of wolves in nature called the Grey wolf optimizer (GWO) Algorithm in contrast to meta-heuristics; main feature ... See full document
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ELMAN Neural Network with Modified Grey Wolf Optimizer for Enhanced Wind Speed Forecasting
... complex optimization problem and used to approximate the global optimum in order to improve the ...Swarm Optimization (PSO) devel- oped by Kennedy and Eberhart [26]”, “Socha, ...Colony ... See full document
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Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer
... Swarm Optimization (PSO) and Genetic Algorithm (GA), owing to its advantages embedded in the search mech- ...the adaptive transition from exploration to exploitation, and the stochastic nature in deter- ... See full document
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Application of Grey Wolf Optimizer Algorithm for Optimal Power Flow of Two-Terminal HVDC Transmission System
... the Grey Wolf Optimizer (GWO) algorithm for Optimal Power Flow (OPF) of two- terminal High Voltage Direct Current (HVDC) elec- trical power ...of grey wolves in ... See full document
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Long-term load forecasting using grey wolf optimizer -least-squares support vector machine
... In order to predict total load demand, a total of 1035 sets of data are collected in the area of Dayton, Ohio, US from January 2016 until May 2018. For training, 668 data sets are used and the remaining 367 data sets are ... See full document
7
Probit Based Grey Wolf Optimal Route Path Discovery In Internet Of Vehicles
... Bio-inspired Grey Wolf Optimization (PRCBGWO) technique is introduced to improve the reliable data transmission and minimize the end to end delay in ...Chaotic Grey Wolf ... See full document
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Novel Methodology to Optimize the Architecture of Multi Layer Feed Forward Neural Network Using Grey Wolf Optimizer (GWO MLP)
... The prediction accuracy of MLP network solely depends on two major parameters [1] like neural network architecture and values of the weights. The neural network architecture is mainly described by number of hidden layers ... See full document
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Gravitational Swarm Optimizer for Global Optimization
... nonlinear optimization problems, which they tested against a benchmark of 14 ...strained optimization, whereas this paper focuses on constrained ...constrained optimization problems was employed to ... See full document
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Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning
... The use of parameter tuning is achieved by finding the best values for algorithm parameters before running the algorithm to fix the problem. Parameter tuning involves a number of difficulties, such as longtime ... See full document
22
Price predictive analysis mechanism utilizing grey wolf optimizer least squares support vector machines
... An extensive literature reviews reveals that a good numbers of meta-heuristic algorithms have been proposed in order to cater this matter. In [11-13], the LSSVM is hybrid with a Swarm Intelligence (SI) algorithm, namely ... See full document
6
Nature Inspired Range Based Wireless Sensor Node Localization Algorithms
... Localization has become an active research topic in WSN in recent years as exact localization information is really desirable for the performance of WSN. This problem is approached with different methods by the ... See full document
11
Formulation of Improved Grey Wolf Optimization Methodology for EELD Problem
... hybrid grey wolf optimization –particle swarm optimization[27],Ant Lion optimization[25], GWO[26] and IGWO[27] which have been successfully used to solve EELD ... See full document
9
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
... Grey wolf optimization which was originated by Mirhalili et ...leadership. Grey wolf always live in a pack where their leader can be a male or female often known as Alpha, who is mainly ... See full document
10
A Novel Adaptive Dragonfly Algorithm for Global Optimization Problems
... exploitation. Adaptive technique causes faster convergence, randomness, and stochastic behavior for improving ...solutions. Adaptive technique also used for random walk in search space when no neighboring ... See full document
13
Investigation of Risks in Reengineering Process Using Grey Wolf Optimization Algorithm
... inspired Grey Wolf optimization Techniques is ...the Grey wolf optimization techniques in evaluation of risks in the process of reengineering, searches effectively and identifies ... See full document
13
Novel adaptive spiral dynamics algorithms for global optimization
... utilize novel mathematical equations based on linear, quadratic and exponential functions to establish similar ...inspired optimization. The proposed adaptive spiral dynamics algorithm (ASDA) and its ... See full document
7
Grey Wolf Optimization for Economic Load Dispatch with Valve-Point Effects
... ABSTRACT:Grey Wolf Optimization (GWO) is a new meta-heuristic inspired by grey ...the grey wolves is mimicked in ...the numerical studies have been performed for twostandard test ... See full document
8
Solving Economic Dispatch Problems By Using Grey Wolf Optimization Technique
... product Grey Wolf Optimizer (GWO) inspired by grey wolves(Canis ...intelligence optimization algorithms in terms of operating cost of generators and power ... See full document
11
A Novel Animal Migration Algorithm for Global Numerical Optimization
... migration optimization (AMO) searches optimization solutions by migration process and updating ...a novel migration process has been proposed to improve the exploration and exploitation ability of ... See full document
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Particle Swarm Optimization (PSO) Inspired Grey Wolf Optimization (GWO) Algorithm
... modified Grey Wolf Optimization (GWO) Algorithm inspired by the Particle Swarm Optimization (PSO) ...Inspired Grey Wolf Optimization (PSOIGWO) is the integration of ... See full document
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