Search alternatives:
making algorithm » cosine algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data making » data mining (Expand Search)
making algorithm » cosine algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data making » data mining (Expand Search)
-
21
Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
Published 2020“…A novel evolving solution based on flower pollination algorithm is also proposed to solve the problem optimally. …”
Get full text
Get full text
Get full text
article -
22
-
23
A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
Published 2016“…New technologies, such as Next-Generation Genome Sequencing, can now provide huge amounts of data in little time. Big initiatives such as the International Hapmap Project and the 1000 Genome project are making use of these technologies to provide the scientific community with a detailed genetic reference from different populations. …”
Get full text
Get full text
masterThesis -
24
-
25
Capturing outline of fonts using genetic algorithm and splines
Published 2001“…We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. We also incorporate a corner detection algorithm to detect significant points which are necessary to capture a pleasant looking spline fitting for shapes such as fonts. …”
Get full text
Get full text
article -
26
Improved search-tree algorithms for the cluster edit problem. (c2011)
Published 2011Get full text
Get full text
masterThesis -
27
A method for the minimum coloring problem using genetic algorithms
Published 2006“…This paper presents a method to solve the graph coloring problem for arbitrary graphs using genetic algorithms. …”
Get full text
Get full text
Get full text
conferenceObject -
28
Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm
Published 2005Get full text
article -
29
-
30
A method for test scheduling using an evolutionary approach. (c2000)
Published 2000Get full text
Get full text
masterThesis -
31
-
32
A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†
Published 2010“…This paper presents a hardware implementation to solve the graph colouring problem (chromatic number χ(G)) for arbitrary graphs using the Hopfield neural network (HNN) model of computation. …”
Get full text
Get full text
Get full text
article -
33
-
34
-
35
On the Optimization of Band Gaps in Periodic Waveguides
Published 2025“…<h3 dir="ltr">Purpose</h3><p dir="ltr">This work applies a computational framework for vibration attenuation in periodic structures by combining the established wave and finite element (WFE) method with nature-inspired optimization algorithms. …”
-
36
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
Published 2023“…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …”
-
37
A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks
Published 2007Get full text
masterThesis -
38
A matheuristic approach for solving the 2-connected dominating set problem
Published 2019“…<p dir="ltr">This paper describes a matheuristic approach for solving the 2-connected dominating set problem (2-CDS). …”
-
39
Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
Published 2022“…Optimization algorithms are one of the most popular methods for solving NP-hard problems. …”
Get full text
-
40
Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm?
Published 2021“…The resulting model achieves an 89% predictive accuracy using historical data. A unique aspect of the model is the incorporation of self-competence, where the model defers when it cannot reasonably make a recommendation. …”