genetic-algorithm-based learning
Fuzzy neural networks with genetic algorithm-based learning method
... computations as the source of inspiration for artificial computations, the human mind is known to be superior in problem solving, for example processing large and also uncertain information. The superiority of mind is ...
50
Optimized Selection Operation On Non Dominant Sorting Genetic Algorithm-Iii In Multiobject Navigation System
... Sorting Genetic Algorithm –III (NSGA-OSO) [5] NSGA-III algorithm cannot have required another selection operator for Pt to create new ...The Algorithm designed with the concept of Machine ...
5
Review on Genetic Algorithm and Machine Learning
... the Genetic algorithms are important in machine learning are (i) they act on discrete spaces, where gradient-based methods cannot be ...a learning system by a single ...network based on ...
6
The Use of Multi Objective Genetic Algorithm Based Approach to Create Ensemble of ANN for Intrusion Detection
... supervised learning based intrusion detection ...type based upon training from label dataset. However, for ANN-based IDS, detection rate (DR) and false positive rate (FPR) are still needed to ...
13
Medical Image Segmentation of Improved Genetic Algorithm Research Based on Dictionary Learning
... mainly based on classification method, filtering method and so on, and there are some disadvantages of the corresponding segmentation regions, for example, the inaccuracy of narrow focus area segmentation, sensi- ...
8
A Rule Based Evolutionary Optimization Approach for the Traveling Salesman Problem
... a genetic al- gorithm forms the basis of this ...solution algorithm. This algorithm is tested on a wide variety of problems to demonstrate the ability of the approach in generating the global optimum ...
18
The Parameter Learning Method for Similar Image Rating Using Pulse Coupled Neural Network
... the Genetic Algorithm is applied to the PCNN parameter learning for the image ...the Genetic Algorithm based method is applied to the parameter learning of the ...
6
Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age
... age based on the health records of pregnant ...machine learning model has been proposed based on the genetic algorithm with parallel optimisation of multiple parameters to predict the ...
6
Improve the Performance of a Complex FMS with a Hybrid Machine Learning Algorithm
... machine learning technology, this problem is provided with more possibilities for the ...machine learning algorithm, inte- grating genetic algorithm and reinforcement learning ...
17
A Comparative Study on K-Means And Genetic Algorithm For Data Clustering
... machine learning, statistics and database ...partitioning based clustering method that identifies the user stipulated unit of clusters (k), which are represented by their centroids, thereby reducing the ...
9
Spam detection in email body using hybrid of artificial neural network and evolutionary algorithms
... Machine learning is one of overall techniques proposed for spam detection and had achieved success and breathtaking ...machine learning, a high dimensionality of characteristics space in the wake of ...
29
Applying Genetic Programming to the Problem of Term Weight Algorithms
... From a computational point of view, genetic algorithms involve the selection of a number of possible solutions to a problem. Initially this selection will be completely at random. Each solution will exhibit a ...
22
Comparison and Analysis of Different Mutation Strategies to improve the Performance of Genetic Algorithm
... the genetic algorithm from different perspectives for the premature convergence ...the algorithm convergence speed by adjusting the probability of the various individual’s crossover and ...the ...
5
An Efficient Feature Selection Technique using Genetic Algorithm for Activity Recognition of Elder People
... Machine learning helps its users deduce important information from huge ...Machine learning is such a tool which sifts through that voluminous data and presents the data of essential ...machine ...
6
A Genetic Fuzzy Model for Investigating Security and Trust in E Commerce with Genetic Algorithm
... the Genetic algorithm is based on a randomly guided ...is based on the theory of gradual evolution and Darwin’s fundamental ...of Genetic algorithm is formed by calling ...
6
Solving Vehicle Routing Problem with Proposed Non Dominated Sorting Genetic Algorithm and Comparison with Classical Evolutionary Algorithms
... Sorting Genetic Algorithm (NSGA) has established itself as a benchmark algorithm for Multi objective ...basic algorithm for big problem gives less efficient results, which renders it less ...
8
Genetic-Moth Swarm Algorithm for Optimal Placement and Capacity of Renewable DG Sources in Distribution Systems
... The moths may be concentrated in the regions which seem to provide good performance. Therefore, the swarm quality for reconnaissance may be decreased during processing the optimization and this process may lead to a ...
13
Use of Genetic Algorithm in Network Security
... interactive genetic algorithm (IGA) framework incorporating relevant feedback (RF) in which human evolution is regarded as not only the fitness function of the GA, but also the relevant score to instruct ...
7
Download Download PDF
... Automation in manufacturing industry has been witness- ing the rapid applications of Computational Intelligence (CI) (Mackworth et Goebel, 1998) for a decade. The growing complexity of computer programs, availability, ...
10
Cognitive Radio Spectrum Allocation Strategy Based on Improved Genetic Algorithm
... is fixed, which influences algorithm speed. (c) The popu- lation is single. If there exists some individual whose fitness is more outstanding in the initial population, then it’s easy to converge to the local ...
5