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[PDF] Top 20 A cooperative evolutionary algorithm for classification

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A cooperative evolutionary algorithm for classification

A cooperative evolutionary algorithm for classification

... An evolutionary algorithm based on cooperative coevolution is applied to a clas- sification problem, the Pima Indian diabetes diagnosis ...Previous cooperative coevo- lution algorithms were ... See full document

18

A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD

A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD

... proposed Evolutionary Multivariate Bayisean Prediction classifier model achieves remarkable dimensionality reduction from among the 7200 medical datasets obtained from the UCI repository with 21 attributes ... See full document

11

Hyperspectral classification optimization using multiobjective evolutionary algorithm

Hyperspectral classification optimization using multiobjective evolutionary algorithm

... the classification of plant species using five different spectral similarity measures, namely Spectral Angle Mapper (SAM), Spectral Correlation Angle (SCA), Spectral Information Divergence (SID), SID-SAM and ... See full document

83

Mining Comprehensible and Interesting Rules: A Genetic Algorithm Approach

Mining Comprehensible and Interesting Rules: A Genetic Algorithm Approach

... a classification algorithm based on evolutionary approach that discovers comprehensible and interesting in CNF form in which along with conjunction in between various attributes there is disjunction ... See full document

9

A novel cooperative spectrum signal detection algorithm for underwater communication system

A novel cooperative spectrum signal detection algorithm for underwater communication system

... and classification model were established to reduce the ...sensing algorithm, that is, Bayesian compressed sensing is used to detect the spectrum without reconstructing the signal, and the information of ... See full document

10

Solving the Balance Problem of On Line Role Playing Games Using Evolutionary Algorithms

Solving the Balance Problem of On Line Role Playing Games Using Evolutionary Algorithms

... an evolutionary design method, including integration with an improved Probabilistic Incremental Program Evolution (PIPE) and a Cooperative Coevolutionary Algorithm (CCEA), for on-line RPGs to ... See full document

9

A fuzzy cooperative genetic algorithm for fuzzy modeling

A fuzzy cooperative genetic algorithm for fuzzy modeling

... The main goal of this study is to develop a method that can automatically generate the ‘best’ of the fuzzy models that took into account the accuracy and interpretability of the model, and can achieve a better result ... See full document

37

Evolutionary Optimization Approach for Fingerprint Classification

Evolutionary Optimization Approach for Fingerprint Classification

... fingerprint classification with respect to scalar Daubechies wavelets, we study the evolutionary-based algorithm to evaluate the performance of each subset of selected ... See full document

5

Throughput Optimization in Cooperative Communications using Evolutionary Algorithms

Throughput Optimization in Cooperative Communications using Evolutionary Algorithms

... Biogeography-Based Optimization (BBO) is a global optimization algorithm developed by Dan Simon in 2008 and is inspired by mathematical models of biogeography by Robert MacArthur and Edward Wilson. Biogeography is ... See full document

9

A multilevel evolutionary algorithm for optimizing numerical functions   Pages 419-430
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A multilevel evolutionary algorithm for optimizing numerical functions Pages 419-430 Download PDF

... Multilevel Evolutionary Optimization algorithm (MLEO) is ...in cooperative populations and then each population is subdivided in groups, and evolution occurs at two levels so called individual and ... See full document

12

Role of Evolutionary Computing Techniques for Knowledge Discovery: A Survey

Role of Evolutionary Computing Techniques for Knowledge Discovery: A Survey

... SCG algorithm is ...SCG algorithm is to find the optimal or near optimal parameter for cost ...SCG algorithm is then narrated and ...For classification, data set is classified and class labels ... See full document

14

An Efficient and High Performance Based Cooperative Communication in WSN

An Efficient and High Performance Based Cooperative Communication in WSN

... an evolutionary algorithm for optimal cooperative communication between the nodes with the parameters channel capacity and signal strength and cache implementation for accessing the previously ... See full document

5

Simplistic vs  Complex Organization: Markets, Hierarchies, and Networks in an 'Organizational Triangle'

Simplistic vs Complex Organization: Markets, Hierarchies, and Networks in an 'Organizational Triangle'

... That ‘higher’ form of rationality allowing for shared knowledge and informal coordination will be an institutionalization of cooperation through a learned and ‘habitualized’ (habituated) social institution, in the face ... See full document

33

An algorithm for identification and classification of individuals with type 1 and type 2 diabetes mellitus in a large primary care database

An algorithm for identification and classification of individuals with type 1 and type 2 diabetes mellitus in a large primary care database

... lengths following the first record of DM, the lower the risk of any such bias will be. Finally, with recent recommenda- tions by bodies such as the National Institute for Health and Care Excellence in 2015 to consider ... See full document

8

Human Body Unit Practice Test

Human Body Unit Practice Test

... A comparison of DNA sequences in two species can indicate their evolutionary relationship and make their evolutionary tree more accurate. DNA analysis examines the base sequences in genes. The DNA sequences ... See full document

11

Optimizing Back Propagation using PSO Hill A* and Genetic Algorithm

Optimizing Back Propagation using PSO Hill A* and Genetic Algorithm

... GENETIC ALGORITHM (GA) : Genetic algorithm is a search technique based on the concept of evolution[15], and in particular with the concept of the survival of the ...genetic algorithm on neural ... See full document

7

A SVM adaptive approach for Ventricular disea...

A SVM adaptive approach for Ventricular disea...

... Delta Waves: These are low frequency wave and available in lowest frequency range i.e. between 0.1 to 4 Hz. These waves define the unconscious mind and deep sleep of the patient or the person so that the sleep apnea ... See full document

5

An automated sleep-state classification algorithm for quantifying sleep timing and sleep-dependent dynamics of electroencephalographic and cerebral metabolic parameters

An automated sleep-state classification algorithm for quantifying sleep timing and sleep-dependent dynamics of electroencephalographic and cerebral metabolic parameters

... We combined this principal component approach with a naïve Bayes classifier to automatically score files. A naïve Bayes classifier requires that a subset of the epochs be scored by a human in order to train the ... See full document

15

An Evolutionary Algorithm for Automatic Summarization

An Evolutionary Algorithm for Automatic Summarization

... an evolutionary algo- rithm. The algorithm explores candidate summaries space following an objective function computed over ngrams probabil- ity distributions of the candidate summary and the source ... See full document

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Automated Synthesis Of Mobile Game Environments And Rulesets Using A Hybridized Interactive Evolutionary Programming Approach

Automated Synthesis Of Mobile Game Environments And Rulesets Using A Hybridized Interactive Evolutionary Programming Approach

... hybrid Evolutionary Algorithm (EA) has been proposed to automatedthe synthesis of both game environments and game rules for mobile game ...(GA), Evolutionary Programming (EP), Evolution Strategies ... See full document

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