[PDF] Top 20 A novel algorithm for uncertain portfolio selection
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A novel algorithm for uncertain portfolio selection
... Conclusions Portfolio selection problem has been a popular issue in the finance area since ...the uncertain portfolio selection and the small sam- ple ...of portfolio ... See full document
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A novel hybrid model for portfolio selection
... Conclusions Portfolio selection problem has been a popular issue in the finance area since the ...pose a hybrid method which incorporates the grey and possibisitic regression models to deal ... See full document
16
Combined DEMATEL technique with a novel MCDM model for exploring portfolio selection based on CAPM
... assessed for budget deficit and country risk was rela- tively lower, and the two criteria averaged ...As for the ‘‘beta of the security” dimension, experts considered ‘‘financial risk” as ... See full document
10
A Novel Prediction Method for Tag SNP Selection using Genetic Algorithm based on KNN
... identify a small subset of informative SNPs, the so-called tag ...of a set of tag SNPs. In this paper, a genetic algorithm (GA) is applied to tag SNP problems, and the K-nearest neighbor ... See full document
3
Applying robust multi-response quality engineering for parameter selection using a novel neural-genetic algorithm
... GA, a local search technique, can find solutions for a wide range of ...generate a successive population of alternate solutions which are represented by a chro- mosome, ...i.e. a ... See full document
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A distributed computation algorithm for solving portfolio problems with integer variables
... proposes a novel technique for solving Problem ...of a convex qua- dratic function, f ðxÞ is reformulated as an ellipse function with n axes y 1 ; y 2 ; ...0 for some i, Problem 1 is ... See full document
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A NOVEL CACHE REPLACEMENT ALGORITHM FOR COOPERATIVE CACHING IN WIRELESS MULTIMEDIA SENSOR NETWORKS
... issues a request, the sensor node will check whether it caches the requested item or ...strategy, a node importance-based cooperative caching method named NICoCa [5] was ...plays a major role in ... See full document
7
A Novel Hybrid Optimization Algorithm Based on Genetic Algorithm and Tabu Search
... proposed a novel optimization algorithm, TGA, by integrating GA and ...The algorithm is based on the structure of GA by adopting the features of adaptation and parallelism, and incorporates wi ... See full document
6
A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression
... genetic algorithm uses selection, crossover, and mutation operators to generate the offspring of the existing popu- ...known selection methods: roulette-wheel method and tournament ...tournament ... See full document
11
Recurrent neural network for dynamic portfolio selection
... dynamic portfolio selection problem is ...dynamic portfolio selection model is formulated. In addition, a numerical example is used to dem- onstrate the proposed method and compare with ... See full document
8
A generalized version space learning algorithm for noisy and uncertain data
... and uncertain training data. A new learning algorithm is proposed that consists of two main phases: searching and ...into a large set; the pruning then prunes this set according to various ... See full document
1
A generalized version space learning algorithm for noisy and uncertain data
... 2 A G ENERALIZED V ERSION S PACE L EARNING S TRATEGY This section proposes a generalized version space learning algorithm that provides more functions than the original learning ...learning ... See full document
5
A novel algorithm for dynamic factor analysis
... For example, by extracting the important factors, the decision-maker can understand the changing trends of the future and effectively manage the strate- gic planning. In this paper, the 16 daily indices of stock ... See full document
10
Genetic algorithms for portfolio selection problems with minimum transaction lots
... region for Model 2 leads to poorer ...obtained portfolio must exceed the desired r, Model 2 does not seem to be a good approach to the portfolio selection ... See full document
12
A novel feature selection method for large -scale data set
... propose a nearly optimal feature selection method, called bitmap-based feature selection method with discernibility matrix, which employs a discernibility matrix to record the important ... See full document
1
A novel adaptive fuzzy variable structure control for a class of nonlinear uncertain systems via backstepping
... Given such smooth B-spline- type membership functions, the proposed adaptive fuzzy variable structure controller with a dedicated structure can adaptively compensate for the syst[r] ... See full document
6
A Novel Image Recovery Algorithm for Visible Watermarked Images
... Abstract—A novel image recovery algorithm for removing visible water- marks is ...proposed algorithm, which includes joint approximate diagonalization of eigenma- trices, second-order ... See full document
8
A genetic algorithm with disruptive selection
... A schema is a set of individuals in the search( space. In most GA’s, the individuals are represented by fixed-length binary strings. The distance between the leftmost and rig[r] ... See full document
9
A relaxable service selection algorithm for QoS-based web service composition
... implement a development environment for users to reduce the complexity application building based on the web service composition ...availability, a relaxable QoS-based service selection ... See full document
12
NOVEL BINAURAL SPECTRO-TEMPORAL ALGORITHM FOR NOVEL BINAURAL SPECTRO-TEMPORAL ALGORITHM FOR
... head). One is at 0 ∘ , and the other is at θ = 90 ∘ . The distance between the loudspeakers and the microphone array are 1 m. receiving sound from the specific direction, and the other is the spectro‐temporal modulation ... See full document
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