Search Results - (( using optimization method algorithm ) OR ( data solution using algorithm ))
Search alternatives:
- method algorithm »
- using algorithm »
- solution using »
- data solution »
-
1
Multi-objective clustering algorithm using particle swarm optimization with crowding distance (MCPSO-CD)
Published 2020“…Clustering, an unsupervised method of grouping sets of data, is used as a solution technique in various fields to divide and restructure data to become more significant and transform them into more useful information. …”
Get full text
Get full text
Get full text
Article -
2
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…Two methods of load flow solution with different accuracy are employed, i.e., simplified method, which uses the approximation of P and Q at the start of the implemented program, and fast-decoupled method, which gives an exact solution. …”
Get full text
Get full text
Thesis -
3
Modification of particle swarm optimization algorithm for optimization of discrete values
Published 2011“…Using this method, the optimization is still done in continuous form, but the solution is generated in discrete form. …”
Get full text
Get full text
Research Reports -
4
Data Analysis using Particle Swarm Optimization Algorithm
Published 2015Get full text
Get full text
Final Year Project / Dissertation / Thesis -
5
Optimal Power Flow Solution With Stochastic Renewable Energies Using Nature Inspired Algorithm
Published 2022“…The use of the Moth Flame Optimization (MFO) algorithm to solve optimal power flow as an objective optimization problem in power system operation and control is described in this thesis. …”
Get full text
Get full text
Undergraduates Project Papers -
6
Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization
Published 2011“…The genetic algorithms is proven to be a very effective method in optimization by using the way imitating natural process of living beings such as crossover, mutation and selection. …”
Get full text
Get full text
Thesis -
7
Data clustering using the bees algorithm
Published 2007Get full text
Get full text
Conference or Workshop Item -
8
An enhanced version of black hole algorithm via levy flight for optimization and data lustering problems
Published 2019“…Black Hole (BH) optimization algorithm has been underlined as a solution for data clustering problems, in which it is a population-based metaheuristic that emulates the phenomenon of the black holes in the universe. …”
Get full text
Get full text
Get full text
Article -
9
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…In addition, the simulation random data for were used to solve single and bi-objective optimization PP and Sch.P to improve the validation and verify the performance of the proposed algorithms. …”
Get full text
Get full text
Thesis -
10
Data fitting by G1 rational cubic Be´zier curves using harmony search
Published 2015“…All of the algorithms improvised a near optimal solution but the result that is obtained by the HS is better than the results of the other two algorithms.…”
Get full text
Get full text
Article -
11
Festive season balancing groceries optimization / Fairuz Mohamed Razi
Published 2012“…The most important part is during system design and implementation. In this phase, method use in Genetic Algorithm to optimize the system prototype is Rastrigin's function to calculate the fitness of the chromosomes.…”
Get full text
Get full text
Thesis -
12
A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method
Published 2018“…Therefore, to overcome the several problems associated with the object detection method, a new approach in Particle Swarm Optimization (PSO) algorithm for optimal search solution as an alternative method to detect of object tracking quickly, precisely and accurately. …”
Get full text
Get full text
Get full text
Article -
13
An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town
Published 2005“…In this study, ant algorithms are used to find the shortest path using a real data. …”
Get full text
Get full text
Get full text
Thesis -
14
-
15
Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network
Published 2024journal::journal article -
16
An enhanced version of black hole algorithm via levy flight for optimization and data clustering problems
Published 2019“…Black Hole (BH) optimization algorithm has been underlined as a solution for data clustering problems, in which it is a population-based metaheuristic that emulates the phenomenon of the black holes in the universe. …”
Get full text
Get full text
Get full text
Article -
17
Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…The IEM algorithm uses the attraction-repulsion mechanism to change the positions of solutions towards the optimality. …”
Get full text
Get full text
Thesis -
18
A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems
Published 2019“…In addition, the NHA enhances the convergence rate obtained using the PSO algorithm. Hence, the proposed NHA as an intelligence model could contribute to providing reliable solutions for complex multi-purpose reservoir systems to optimize the operation rule for similar reservoir systems worldwide. © 2019 by the authors.…”
Get full text
Get full text
Article -
19
Improved cuckoo search based neural network learning algorithms for data classification
Published 2014“…This research proposed an improved CS called hybrid Accelerated Cuckoo Particle Swarm Optimization algorithm (HACPSO) with Accelerated particle Swarm Optimization (APSO) algorithm. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
20
Enhancing Classification Algorithms with Metaheuristic Technique
Published 2024“…Meta-heuristic algorithms are search techniques used to solve complexoptimization problems, and these algorithms can help provide reasonable solutions in a shorter time thanexact methods. …”
Get full text
Get full text
Get full text
Article
