Search Results - (( data distribution problem algorithm ) OR ( parallel optimization means algorithm ))
Search alternatives:
- parallel optimization »
- distribution problem »
- optimization means »
- data distribution »
- problem algorithm »
- means algorithm »
-
1
Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Hence, the algorithm must overcome the problem of dynamic updates in the internal parameters or counter the concept drift. …”
Get full text
Get full text
Thesis -
2
Performance Comparison of Parallel Bees Algorithm on Rosenbrock Function
Published 2012“…This thesis presents the parallel Bees Algorithm as a new approach for optimizing the last results for the Bees Algorithm. …”
Get full text
Get full text
Get full text
Thesis -
3
Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
Published 2010“…As the total objective values in most of problems could not be improved by simulated algorithm, it proved the well performing of proposed intelligence based genetic algorithm in reaching the near optimal solutions.…”
Get full text
Get full text
Get full text
Article -
4
Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization
Published 2022“…Based on the optimization results, the MFO outperformed other comparison algorithms for the mean fitness and also the best fitness. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
5
An efficient indexing and retrieval of iris biometrics data using hybrid transform and firefly based K-means algorithm title
Published 2019“…The enhanced method combines three transformation methods for analyzing the iris image and extracting its local features. It uses a weighted K-means clustering algorithm based on the improved FA to optimize the initial clustering centers of K-means algorithm, known as Weighted K-means clustering-Improved Firefly Algorithm (WKIFA). …”
Get full text
Get full text
Thesis -
6
Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.
Published 2022“…Best Hammerstein parallel NN polynomial based model and series-parallel NN polynomial model are 88.75% and 93.9% respectively, for best Hammerstein parallel NN sigmoid based model and series-parallel NN sigmoid based model 78.26% and 95.95% respectively, and for best Hammerstein parallel NN hyperbolic tangent based model and series-parallel NN hyperbolic tangent based model 70.7% and 96.4% respectively. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
7
Dengue outbreak prediction: hybrid meta-heuristic model
Published 2018Get full text
Get full text
Get full text
Conference or Workshop Item -
8
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…The proposed solution to this problem is based on a general combinatorial optimization algorithm known as Genetic Algorithm, and the load flow equations in distribution network. …”
Get full text
Get full text
Thesis -
9
Optimization of Workload Allocation Problem in a Network of Heterogeneous Computer Systems
Published 2005“…Other service distributional models such as exponential, Erlang-k and Gamma have also been used to expand the work applicability. A new algorithm of workload allocation scheme using First Come First Serve discipline in conjunction with optimization of GE queueing systems is proposed for minimizing mean queue length and mean response time in a network of computer systems. …”
Get full text
Get full text
Get full text
Thesis -
10
Data discovery algorithm for scientific data grid environment
Published 2005“…By using this model, we study various discovery algorithms for locating data sets in a data grid system. …”
Get full text
Get full text
Get full text
Article -
11
Improved genetic algorithm for scheduling divisible data grid application
Published 2007“…Data Grid technology promises geographically distributed scientists to access and share physically distributed resources such as computing resources, networks, storages, and most importantly data collections for large scale data intensive problems. …”
Get full text
Get full text
Conference or Workshop Item -
12
Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…The data distributed in these systems sometimes come in inconsistent formats. …”
Get full text
Get full text
Thesis -
13
Ancestral dynamic voting algorithm for mutual exclusion in partitioned distributed systems
Published 2013“…Data replication is a known redundancy used in fault-tolerant distributed system. …”
Get full text
Get full text
Get full text
Article -
14
Solving the vehicle routing problem with stochastic demands via hybrid genetic algorithm-tabu search
Published 2008“…The problem data are inspired by real case of VRPSD in waste collection. …”
Get full text
Get full text
Article -
15
-
16
Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification
Published 2018“…However, the problem of learning or inferencing the posterior distribution of the algorithm is trivial. …”
Get full text
Get full text
Article -
17
Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification
Published 2018“…However, the problem of learning or inferencing the posterior distribution of the algorithm is trivial. …”
Get full text
Get full text
Article -
18
-
19
Proposed system for data security in distributed computing in using triple data encryption standard and Rivest Shamir Adlemen
Published 2023“…This increases the security problems in security such as data confidentiality, data integrity and data availability, so the solution of such problems are conducted by adopting data encryption is very important for securing users data. …”
Article -
20
Prior selection for Gumbel distribution parameters using multiple-try metropolis algorithm for monthly maxima PM10 data
Published 2013“…Focus is on modelling the extreme data based on block maxima approach using Gumbel distribution. …”
Get full text
Get full text
Conference or Workshop Item
