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adaptive genetic-based algorithm

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... of adaptive weight multi-objective genetic algorithm based on MATLAB is put forward in this ...The genetic algorithm’s accuracy and reliability are verified by the data from China ...

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An Entropy-based Adaptive Genetic Algorithm
          Approach on Data Mining for Classification
          Problems

An Entropy-based Adaptive Genetic Algorithm Approach on Data Mining for Classification Problems

... The construction of a decision tree is divided into two stages. First, creating an initial, large decision tree using a set of training set. Second, pruning the initial decision tree, if applicable, using a validation ...

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Adaptive the Modeling of BLDC Motor Based on Fuzzy Logic and Genetic Algorithm

Adaptive the Modeling of BLDC Motor Based on Fuzzy Logic and Genetic Algorithm

... 1. Based on its current error and FLC when using the FLC controller in the response circuit it performs operations and response time of the FLC taken more and shows in figure 7 and when FLC are update with ...

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Genetic algorithm based optimization for terahertz time domain adaptive sampling

Genetic algorithm based optimization for terahertz time domain adaptive sampling

... a genetic algorithm (GA) based method to improve the sampling efficiency in THz time domain spectroscopy ...points. Based on this clustering feature of the THz signal, we can use much fewer ...

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Adaptive On-line Genetic Algorithm Based PD Iterative Control for PUMA560

Adaptive On-line Genetic Algorithm Based PD Iterative Control for PUMA560

... Iterative Learning Control (ILC) method was proposed by Arimoto et al in 1984 which successfully established the ILC framework in the control systems community by defining the principles that underlie “learning control” ...

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Optimization of spectrum sensing in 
		Cognitive Radio by demand based adaptive genetic algorithm

Optimization of spectrum sensing in Cognitive Radio by demand based adaptive genetic algorithm

... is based on the perception spectrum access, mainly dynamic and license holders of a spectrum known as the primary users (PU) allow permission for accessing the spectrum to the non- licensed users ...Using ...

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ENERGY EFFICIENT DISTRIBUTED IMAGE COMPRESSION USING JPEG2000 IN WIRELESS SENSOR 
NETWORKS (WSNS)

ENERGY EFFICIENT DISTRIBUTED IMAGE COMPRESSION USING JPEG2000 IN WIRELESS SENSOR NETWORKS (WSNS)

... scheme based on adaptive genetic algorithm (AGA) and particle swarm optimization algorithm (PSO) for Multi-chip Module (MCM) ...

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Genetic Algorithm Assisted Adaptive Beamforming

Genetic Algorithm Assisted Adaptive Beamforming

... The challenge in applying the features introduced in Section 3.1 is to appropriately set the point, where the GA has to change its search strategy. The results of our related investigations are shown in Fig. 3 (a) where ...

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Adaptive Genetic Algorithm for Efficient Resource Management in Cloud Computing

Adaptive Genetic Algorithm for Efficient Resource Management in Cloud Computing

... Cloud computing platform guarantees subscribers that it sticks to the service level agreement (SLA) by providing resources as service and by needs. It allows business customers to scale up and down their resource usage ...

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A novel architecture for active service management

A novel architecture for active service management

... that Genetic Algorithms (GAs) offer a robust approach to evolving effective adaptive control ...and based on local action (as would be required in a multi-owner ...GAs based on mutation and ...

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Prediction of soil cation exchange capacity using support vector regression optimized by genetic algorithm and adaptive network-based fuzzy inference system

Prediction of soil cation exchange capacity using support vector regression optimized by genetic algorithm and adaptive network-based fuzzy inference system

... with genetic algorithm (GA) together with the adaptive network-based fuzzy inference system (ANFIS) to predict soil CEC based on 104 soil samples collected from soil surface under four ...

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Pump scheduling optimization for water supply system using adaptive weighted sum genetic algorithm

Pump scheduling optimization for water supply system using adaptive weighted sum genetic algorithm

... are based on the Pareto approach of Genetic ...approach Genetic Algorithm becomes inefficient if majority of the population becomes non-dominated, which may lead to extreme difficulty in the ...

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Adaptive Genetic Algorithm Based Source Identification with Near-Field Scanning Method

Adaptive Genetic Algorithm Based Source Identification with Near-Field Scanning Method

... methodology based on the substitution of radiating dipoles for real sources is ...an adaptive GA supposing that the equivalent dipoles operate at the same frequency as the real ...self-defined ...

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An Improved Adaptive Genetic Algorithm Based on Multi   user Cooperative Spectrum Sensing

An Improved Adaptive Genetic Algorithm Based on Multi user Cooperative Spectrum Sensing

... searching algorithm based on natural selection and population genetic mechanism, genetic algorithm is widely used in solving many non-convex problems ...simple genetic ...

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Optimization of Closed-Loop Supply Chain Problem for Calculation Logistics Cost Accounting

Optimization of Closed-Loop Supply Chain Problem for Calculation Logistics Cost Accounting

... Abstract: This paper aims to build closed loop supply chain model (CLSCM) and propose a multi-objective genetic algorithm. This paper designs the method of calculation for a solution using optimization ...

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Improved Adaptive LSB Steganography Based on Chaos and Genetic Algorithm

Improved Adaptive LSB Steganography Based on Chaos and Genetic Algorithm

... improved adaptive LSB steganography that can embed mes- sages adaptively and thus can satisfy various requirements (high capacity, high security, high image quality, ...image based on chaos and the ...

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Fast Integer Ambiguity Resolution Based on Real-Coded Adaptive Genetic Algorithm

Fast Integer Ambiguity Resolution Based on Real-Coded Adaptive Genetic Algorithm

... proposed algorithm is significantly less than Lambda method and simple ...for genetic operators,constant probabilities of crossover and mutation severely affect the effectiveness of GA's search ...

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A Review on Genetic Algorithm Practice in Hadoop MapReduce

A Review on Genetic Algorithm Practice in Hadoop MapReduce

... Genetic algorithm is adaptive heuristics search algorithm based on the evolutionary ideas of natural selection and ...―gene‖. Genetic algorithm are the way of solving ...

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An Efficient Artificial Intelligence Maximum Power Point Tracker Based On Genetic Algorithm-Radial Basis Function

An Efficient Artificial Intelligence Maximum Power Point Tracker Based On Genetic Algorithm-Radial Basis Function

... The adaptive GA as a searching algorithm was used to determine an optimum value of the spread ...of genetic algorithm is to optimize the RBF neural network by searching for optimum value of ...

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Diversity based adaptive genetic algorithm for a workforce scheduling and routing problem

Diversity based adaptive genetic algorithm for a workforce scheduling and routing problem

... the algorithm gets trapped in a sub- optimal region of the search space ...the algorithm is unable to find better quality solutions as a result of ...an adaptive population resizing is implemented ...

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