hybrid adaptive genetic algorithm
An Efficient Artificial Intelligence Maximum Power Point Tracker Based On Genetic Algorithm-Radial Basis Function
... point algorithm based on hybrid Adaptive Genetic Algorithm Radial Basis Function (AGA-RBF) is ...learning algorithm, is first optimized by an adaptive Genetic ...
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Rainfall Prediction Using Hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) and Genetic Algorithm
... The hybrid method with the new approach for the prediction process already widely ...the hybrid methods with new approaches was introduced by Li and Su ...a hybrid Adaptive Hierarchical ...
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Premise Parameter Optimization on Adaptive Network Based Fuzzy Inference System Using Modification Hybrid Particle Swarm Optimization and Genetic Algorithm
... Fuzzy Inference System (FIS) uses the If-Then fuzzy rules to model aspects of human knowledge and thinking without using appropriate quantitative analyzes. FIS has no standard model to transform human knowledge or ...
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The Hybrid Genetic Algorithm for Solving Scheduling Problems in a Flexible Production System
... The selection phase is to choose among the N individuals i of the current population the stronger individuals from which the next generation will be created. Either for a realizable schedule i, the value of the objective ...
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Optimization of Hybrid PV/Wind/Battery system using Adaptive Genetic Algorithm-PID Controller
... 223 Realizing significance of Proportional-Integral- Derivative (PID) controller for real time industrial purposes, in this paper it has been applied to control both EMS as well as wind-turbine speed. However, to ...
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Menu planning model for Malaysian Boarding School using self adaptive hybrid genetic algorithm
... Oleh itu, kaedah ZSDC disarankan untuk mengembangkan carian kepada kawasan jiran yang lebih luas dan keputusan menunjukkan kaedah yang diperkenalkan dapat menghasilkan 100% penyelesaian [r] ...
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Spam detection using hybrid of artificial neural network and genetic algorithm
... Özgür et al. (2004) proposed means of antispam dynamic checking for agglutinative languages in common and for Turkish in specific, depend on Bayesian filters and (ANN). There are two components for algorithms that ...
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A Genetic Algorithm Based Average Percentage of Statement Coverage Technique for Test Case Ordering
... approach adaptive genetic algorithm hybrid approach for test case ordering in regression ...Applying adaptive genetic algorithm hybrid approach and measure APSC ...
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Genetic-Moth Swarm Algorithm for Optimal Placement and Capacity of Renewable DG Sources in Distribution Systems
... a hybrid approach based on the Genetic Algorithm (GA) and Moth Swarm Algorithm (MSA), namely Genetic Moth Swarm Algorithm (GMSA), for determining the optimal location and sizing ...
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A Hybrid AI approach based on Genetic Algorithm and ANFIS for Heart Disease Diagnosis
... a hybrid method using adaptive neuro_fuzzy inference system (ANFIS) and genetic algorithm (GA) for heart attack ...(disease). Genetic algorithm is used for filtering purpose to ...
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Hybrid adaptive evolutionary algorithm based on decomposition
... The first MOEA known as “Vector Evaluated Genetic Algorithm (VEGA)” was developed in a seminal work of David Scha ff er, [56, 55]. VEGA divides the population into m sub-populations, each of which evolves ...
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Enhanced genetic algorithm-based back propagation neural network to diagnose conditions of multiple-bearing system
... of hybrid approach in BPNN to improve the accuracy and stability of accuracy in condition diagnosis of multiple-bearing ...The hybrid approach use optimization based algorithm namely Genetic ...
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Motor Vehicle Maintenance Scheduling Model Based on Genetic algorithm
... a hybrid linear programming model based on adaptive genetic ...a hybrid Flow-shop scheduling problem with unique process constraints, and an adaptive genetic algorithm is ...
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Solving a Redundancy Allocation Problem by a Hybrid Multi-objective Imperialist Competitive Algorithm
... new hybrid multi-objective imperialist competition algorithm (HMOICA), based on imperialist competitive algorithm (ICA) and genetic algorithm (GA) is proposed in multi-objective ...
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Protein folding prediction in the HP model using ions motion optimization with a greedy algorithm
... This study uses an ab initio technique (hydrophobic polar model) to predict protein structures. This is one of the most commonly applied methods for protein structure prediction. We propose and develop here a combination ...
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A Hybrid Adaptive Unscented Kalman Filter Algorithm
... traditional adaptive Unscented Kalman Filtering (UKF) algorithm in noise covariance estimation for statement and measurement, we propose a hybrid adaptive UKF algorithm based on ...
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A hybrid modern and classical algorithm for Indonesian electricity demand forecasting
... single algorithm predictive model-based when the number of variables ...A hybrid method seems to be the right approach to improve the performance of long-term energy demand forecasting model because it ...
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Improve the Performance of a Complex FMS with a Hybrid Machine Learning Algorithm
... a hybrid machine learning algorithm, inte- grating genetic algorithm and reinforcement learning algorithm, is proposed to cope with the accuracy of a control policy and system ...
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Spam NSGA II NvBys: An efficient hybrid approach for email spam filtering
... specific algorithm for statistically determining whether or not a given e-mail message is in fact a spam ...a hybrid approach by merging Navie Bayes spam filtering algorithm and Multi objective ...
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A Review on Genetic Algorithm Practice in Hadoop MapReduce
... The output of Map function contains multiple key values. Multiple keys values act as an input for the Reduce function. The mapper extracts the support call identifier (pass to reducer as a key) and the support call ...
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