Search Results - (( probable optimization method algorithm ) OR ( data selection method algorithm ))
Search alternatives:
- probable optimization »
- method algorithm »
- selection method »
- data selection »
-
1
VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…These two models are based on topological placement method. DM is optimized using genetic algorithm (GA). …”
Get full text
Get full text
Thesis -
2
Tree-based contrast subspace mining method
Published 2020“…Hence, this thesis presents the optimization of parameters values for the tree-based method by genetic algorithm. …”
Get full text
Get full text
Get full text
Thesis -
3
Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification
Published 2011“…Evolutionary computation (EC) is known to be an effective search and optimization method and in this paper EC is proposed as a model structure selection algorithm. …”
Get full text
Get full text
Get full text
Article -
4
Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller
Published 2010“…The performance of GA can be further improved by using different combinations of selection strategies, crossover and mutation methods, and other genetic parameters such as population size, probability of crossover and mutation rate. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
5
Lexicon-based and immune system based learning methods in Twitter sentiment analysis
Published 2016“…Negative Selection algorithm (NSA), Clonal Selection algorithm (CSA) and Immune Network algorithm (INA); and model analysis. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
Mobility management schemes based on multiple criteria for optimization of seamless handover in long term evolution networks
Published 2014“…The results demonstrated that our proposed method results in significant reductions of HOF, HOPP and packet loss ratio (PLR) compared to the conventional HHO and enhanced weighted performance HO parameter optimization (EWPHPO) algorithm. …”
Get full text
Get full text
Thesis -
7
Hybrid metaheuristic method for clustering in wireless sensor networks / Bryan Raj Peter Jabaraj
Published 2023“…As such, this thesis proposes a hybrid metaheuristic method that consists of Sperm Swarm Optimization (SSO) algorithm and Genetic Algorithm (GA), which is termed HSSOGA. …”
Get full text
Get full text
Get full text
Thesis -
8
Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…Secondly, the modeling method of the proposed PV module is validated by experimental data. …”
Get full text
Get full text
Thesis -
9
Traditional marble game using ant colony optimization / Muhammad Izzat Imran Che Isa
Published 2017“…A set of data contains position of marbles is tested for ACO algorithm in the prototype. …”
Get full text
Get full text
Thesis -
10
Technical report: genetic algorithm for vehicle routing problem / Mohammad Izwan Jamaluddin and Muhamad Syahmie Adeeb Mohd Shukri
Published 2016“…We are using four step in methodology as determine of genetic algorithm characteristic, data input, the process by using operator selection and prediction. the results have been compares with two operator selection to determine the minimum routes in cities. …”
Get full text
Get full text
Student Project -
11
An enhanced sequential exception technique for semantic-based text anomaly detection
Published 2019“…To demonstrate the feasibility of the technique, four selected datasets namely NIPS data, ENRON, Daily Koss blog, and 20Newsgroups were experimented on. …”
Get full text
Get full text
Get full text
Thesis -
12
Development of a systematic method in lean tool selection for automotive industry
Published 2012“…Based on the systematic features of this algorithm, the efficiency and effectiveness of the model in presenting optimizing techniques for lean tool selection with the automotive industry seems reasonable and useful. …”
Get full text
Get full text
Thesis -
13
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…However, the learning complexity of classification is increased due to the expansion number of learning model. Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
Get full text
Get full text
Thesis -
14
Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
15
Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment
Published 2011“…Pattern classification and recognition in low-rank distance metric dealing with nonparametric changes is an underlying problem in dynamic environment applications. Data arrives from operational field in a stream model and similarity-based classification algorithms must identify them with acceptable performance. …”
Get full text
Get full text
Thesis -
16
Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani
Published 2018“…To set up direct wind power prediction, six data-driven approaches are employed and the same procedure as in indirect approach is applied to select the best method for longer horizon predictions, up to 60-min. …”
Get full text
Get full text
Get full text
Thesis -
17
Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region
Published 2025“…This type of outcome is valuable to the decision-maker to implement a more optimal strategy for reducing the probability of landslides and its associated damages. ? …”
Article -
18
A proposed genetic algorithm to optimize service restoration in electrical networks with respect to the probability of transformers failure
Published 2010“…In many researches a Genetic Algorithm is employed as a powerful tool to solve this multi-objective, multi-constraint optimization problem. …”
Get full text
Get full text
Conference or Workshop Item -
19
-
20
Severity prediction of traffic accidents with recurrent neural networks
Published 2017“…Compared to traditional Neural Networks (NNs), the RNN method is more effective for sequential data, and is expected to capture temporal correlations among the traffic accident records. …”
Get full text
Get full text
Article
