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hybrid genetic algorithm technique

SMART NAVIGATION SYSTEM FOR SELECTING THE SHORTEST ROUTES BASED ON HYBRID GENETIC ALGORITHM TECHNIQUE

SMART NAVIGATION SYSTEM FOR SELECTING THE SHORTEST ROUTES BASED ON HYBRID GENETIC ALGORITHM TECHNIQUE

... robust technique for finding the Paths Simplicity Selector that reaches a desired target among many others, which were not the same distance, number of nodes or starting ...the hybrid GAs with logic engine ...

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A hybrid modern and classical algorithm for Indonesian electricity 
		demand forecasting

A hybrid modern and classical algorithm for Indonesian electricity demand forecasting

... a hybrid modern and classical algorithm (HMCA) in parameter optimization of electricity demand ...forecasting. Genetic algorithm (GA) has been successfully applied in optimization ...modern ...

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Online Full Text

Online Full Text

... a hybrid intelligent technique wherein a neural network is trained for prediction and a genetic algorithm (GA) implementation is used for evolving the neural network topology until an optimal ...

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Multiobjective Service Restoration Considering Primary Customers using Hybrid GA ACO Algorithm

Multiobjective Service Restoration Considering Primary Customers using Hybrid GA ACO Algorithm

... improved technique using GA is Advanced NSGA-II developed by Deb et al [34] and applied by ...proposed algorithm is generalized enough to be applicable to any power distribution ...Metahuristic ...

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Title: A Survey on Particle Swarm Optimization and Rough Set Theory in Feature Selection for Heart Disease Prediction

Title: A Survey on Particle Swarm Optimization and Rough Set Theory in Feature Selection for Heart Disease Prediction

... on hybrid method which combines Rough Set Theory hybrid and Bee Colony Optimization (BCO) is proposed ...with hybrid technique which combines Genetic Algorithm, Particle Swarm ...

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Spam detection using hybrid of artificial neural network and genetic algorithm

Spam detection using hybrid of artificial neural network and genetic algorithm

... Support Vector Machine (SVM) considered as a classification technique that doesn’t require a statistical data model to reduce the classification errors immediately. This method will be popular when developed to ...

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Implementation of Clustering based Unit Commitment Employing Particle Swarm Optimization

Implementation of Clustering based Unit Commitment Employing Particle Swarm Optimization

... cluster algorithm called as additive and divisive hierarchical clustering has been employed based on hybrid technique of genetic algorithm and simulated annealing in order to carry out ...

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Genetic-Moth Swarm Algorithm for Optimal Placement and Capacity of Renewable DG Sources in Distribution Systems

Genetic-Moth Swarm Algorithm for Optimal Placement and Capacity of Renewable DG Sources in Distribution Systems

... new hybrid GMSA is developed based on the incorporation of GA operations with adaptive mutation operator on the reconnaissance phase using genetic pathfinder moths and the expanding of artificial light ...

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Genetic Algorithm and Hybrid Genetic Algorithm for Space Allocation Problems   A Review

Genetic Algorithm and Hybrid Genetic Algorithm for Space Allocation Problems A Review

... Genetic algorithm is an appropriate technique for finding the best solution of space layout ...[8] genetic algorithm is used to solve the container storage space allocation ...land. ...

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II.B ACKGROUND A. Genetic Algorithms

II.B ACKGROUND A. Genetic Algorithms

... In this study, we propose a hybrid scheme using Genetic Algorithm and Clustering technique for Multi Robot Path Exploration problem. We used a fixed length chromosome that results in reduced ...

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A hybrid genetic algorithm with mapreduce technique for cloud computing energy efficiency

A hybrid genetic algorithm with mapreduce technique for cloud computing energy efficiency

... selected technique which is genetic algorithm MapReduce algorithm, in which the optimized values would be dependent on the type of situations the data center are under (Haupt and Haupt, ...

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Genetic Algorithm Technique in Hybrid Intelligent Systems for Pattern Recognition

Genetic Algorithm Technique in Hybrid Intelligent Systems for Pattern Recognition

... In the real domain the number of values representing a pattern in is huge. For Example 1024 values to represent each pattern. This large number of values is not suitable for commonly used pattern classification ...

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(EM) mechanism, for global

(EM) mechanism, for global

... electromagnetism-like algorithm (EM), we propose a novel hybrid learning algorithms which is the improved EM algorithm with genetic algorithm technique (IEMGA) for recurrent ...

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A 10 BIT 50 MS/S LOW POWER PIPELINE ADC FOR WIMAX/LTE

A 10 BIT 50 MS/S LOW POWER PIPELINE ADC FOR WIMAX/LTE

... a technique of camera calibration with varying parameters by a hybrid optimization algorithm between the simplex and the modified genetic algorithms, the proposed approach can avoid being ...

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Protein folding prediction in the HP model using ions motion optimization with a greedy algorithm

Protein folding prediction in the HP model using ions motion optimization with a greedy algorithm

... initio technique (hydrophobic polar model) to predict protein ...the hybrid algorithm, combining the IMO algorithm with a greedy algorithm provides a useful tool for pro- tein folding ...

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IMPLEMENTATION OF AN OPTIMIZATION TECHNIQUE: GENETIC ALGORITHM

IMPLEMENTATION OF AN OPTIMIZATION TECHNIQUE: GENETIC ALGORITHM

... like Genetic algorithm (GA) and Differential evolution (DE) attempt to carry out the phenomenon of natural evolution ...about Genetic Algorithm this is a meta-heuristic algorithm ...

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A Genetic Fuzzy Model for Investigating Security and Trust in
E Commerce with Genetic Algorithm

A Genetic Fuzzy Model for Investigating Security and Trust in E Commerce with Genetic Algorithm

... classification system. In designing and analyzing different types of fuzzy genetic systems for pattern recognition, the feasibility of fuzzy genetic systems in relation to intrusion detection is examined. ...

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Improve the Performance of a Complex FMS with a Hybrid Machine Learning Algorithm

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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Porosity Calculation of Tight Sand Gas  Reservoirs with GA CM Hybrid  Optimization Log Interpretation Method

Porosity Calculation of Tight Sand Gas Reservoirs with GA CM Hybrid Optimization Log Interpretation Method

... of algorithm research, a large number of domestic and foreign scholars make a lot of efforts in the mathematical method selection criterion, the improvements of classical methods, the developments of new ...

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A Review of Recent Approaches for Optimizing the Size of SAW filter

A Review of Recent Approaches for Optimizing the Size of SAW filter

... iterative technique for the same ...this technique, in order to find an optimal solution, every solution of the search space was ...This technique is deterministic which go through every possible ...

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