[PDF] Top 20 Lo académico y lo político en las universidades públicas
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Modified Optimization by Artificial Bee Colony (MOABC) for improvement in content-based image retrieval performance
... of content based on the user‟s ...of content generation and fitness assignment, IGA enables unique content to evolve that suits the user‟s ...preferences. Based on this reason, IGA can ... See full document
8
ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION
... Multi-objective optimization has been a difficult area and focus for research in fields of image ...algorithm based on artificial bee colony (ABC) to deal with multi- objective ... See full document
61
Dynamic artificial bee colony algorithm for multi-parameters optimization of support vector machine-based soft-margin classifier
... multi-parameters optimization of SVM ...multi-parameters optimization, when length D of vector (to be optimized) is larger, our study has provided substantial evidence for the advantages of D-ABC algorithm ... See full document
42
Image Classification based on Color and Texture features using FRBFN network with Artificial Bee Colony Optimization Algorithm
... color image could be described as three layered image with each layer as Red, Green and ...in content based image retrieval ... See full document
437
Personal Best Cuckoo Search Algorithm for Global Optimization
... algorithm is still significant. Mostly, the hybrids and modifications often make the algorithm more complicated and challenging to implement. To address this, the current paper proposes a simple modification in CS ... See full document
5
A Novel Hybrid Crossover based Artificial Bee Colony Algorithm for Optimization Problem
... The optimization problems depend upon the data they used so they are classified in to two ...is based on real data set and another one is based on binary or discrete data ... See full document
8
Population based meta-heuristic techniques for solving optimization problems: A selective survey
... Ant colony optimization [3,4,5] is a meta-heuristic technique introduced for solving combinatorial optimization ...in artificial ant colonies in order to solve optimization ... See full document
20
A Modified Grasshopper Optimization Algorithm Combined with CNN for Content Based Image Retrieval
... in image recognition and retrieval and consists of 1400 images in 70 classes, where each class includes shape similar ...evaluating retrieval systems against shape ... See full document
60
Artificial Bee Colony Optimization for Torque Improvement of Three Phase Induction Motor
... ABC Optimization when compared with the PI ...speed performance of the motor can be ...ABC Optimization technique is 1000 ...speed performance of ABC will be better when compared with the PI ... See full document
10
An Efficient Brain Stroke Image Classification Model Based on Artificial Bee Colony Optimization with Kernel Support Vector Machine
... better performance, the supervised classification model leads to higher classifier results over the unsupervised ...ML based classifiers, SVM offers more benefits include more precise, simple mathematical ... See full document
20
Elite Opposition-based Artificial Bee Colony Algorithm for Global Optimization
... 4. 1. Experimental Settings In order to evaluate the effectiveness of the proposed EOABC, 15 classical benchmark test functions widely used in the evolutionary computation community are employed in the experiments [41, ... See full document
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A NOVEL APPROACH TO GENERATE TEST CASES FOR COMPOSITION & SELECTION OF WEB SERVICES BASED ON MUTATION TESTING
... GA-SVM algorithm is proposed using the character of GA in which searching the optimal combination is made to combine SVM classification algorithm to which it gets the tool of optimal columns combination. Fig. shows the ... See full document
15
ABC-T: Modified Artificial Bee Colony Algorithm with Parameter Tuning for Continuous Function Optimization
... To avoid the pitfalls of the standard ABC algorithm, an im- proved version of the ABC algorithm is proposed by controlling some of the parameters in a way that it is able to produce better results than the standard one. ... See full document
32
Content-Based Image Retrieval Using Machine Learning And Soft Computing Techniques
... The image database size is getting increased day by ...in image retrieval ...the image characteristics that results in irrelevant retrieval ...systems content based ... See full document
9
Stability Analysis of Artificial Bee Colony Optimization Algorithm
... fitness based probability selection is done to get improved results in each iteration hence, error is decreasing with increase in iteration for almost every range of parameter ... See full document
18
STRENGTHENING ANTI JAM GPS SYSTEM WITH ADAPTIVE PHASE ONLY NULLING USING EVOLUTIONARY ALGORITHMS
... novel optimization method based on the Artificial Bee Colony algorithm for the interference cancellation design is proposed which maximizes gain towards the desired signal and also ... See full document
12
Improvement of Artificial Bee Colony Algorithm Based on Self Adaptive Random Optimization Strategy
... the optimization result for this function under different dimensions was not improved greatly with SRABC algorithm, it was still better than that with standard ABC algorithm and HABC ... See full document
21
An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
... Although several works claimed to provide seismic prediction, according to a specific location area, specific span of time, specific magnitude range and specific probability of occurrence. That is, seismic event ... See full document
28
A modified scout bee for artificial bee colony algorithm and its performance on optimization problems
... artificial bee colony (ABC) is one of the swarm intelligence algorithms used to solve optimization problems which is inspired by the foraging behaviour of the honey ...artificial bee ... See full document
19
Multi-Objective QoS-based Reusable Service Selection enhanced with Artificial Bee Colony (MQRSABC)
... Multi-objective optimization has been a difficult problem and a research focus in the field of science and ...enhanced Artificial Bee Colony (ABC) optimization algorithm, called the ... See full document
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