Examples of using Optimization algorithms in English and their translations into Greek
{-}
-
Colloquial
-
Official
-
Medicine
-
Ecclesiastic
-
Financial
-
Official/political
-
Computer
Optimization Algorithms and Applications.
Distributed optimization algorithms.
Additionally, emphasis is given on the procedure of designing and analyzing optimization algorithms.
Learning optimization algorithms with neural networks.
Offers a choice of 4 disk optimization algorithms.
SVM employs optimization algorithms to locate the optimal boundaries between classes.
So we simulated this; we developed some optimization algorithms and we simulated this.
Develop new optimization algorithms, fully comprehending the necessity of their implementation.
There are limitations of the use of a genetic algorithm compared to alternative optimization algorithms.
Optimization algorithms are a very powerful and flexible mathematical tool that can be used to model a very wide range of problems.
The two research institutes bring their deep expertise in network and embedded systems,business process engineering, and optimization algorithms.
Airlines use sophisticated optimization algorithms to decide ticket prices, airplane and crew assignments and fuel needs.
His research interests involve statistical modeling andanalysis of simulation results, optimization algorithms and construction of optimal experimental designs.
Optimization algorithms: Many algorithms have been developed to optimize cutting quality, cutting speed, and minimize production costs.
Fields of research interest concern theoretical andcomputational construction design methods, optimization algorithms, data analysis, mechanical learning and bibliometry.
In this case,UWOT can be used along with optimization algorithms to identify the optimum trade-off between the potable water demand reduction and the required cost(including energy).
Fields of research interest concern methods for theoretical andcomputational structural design, optimization algorithms, data analysis, artificial intelligence and bibliometrics.
So we simulated this; we developed some optimization algorithms and we simulated this. And we were able to show that we are able to avoid the delicate organs, and yet still achieve the coverage of the tumors with the radiation.
This phase focuses on the analysis and calculation of the energy consumption of the key business processes inthe load forecasting and engineering systems and optimization algorithms, including financial optimization. .
The difference between the two fields arises from the goal of generalization: while optimization algorithms can minimize the loss on a training set, machine learning is concerned with minimizing the loss on unseen samples.
He has participated in a variety of research projects, at the National Technical University of Athens, in engineering software companies in Greece and at the Neapolis University, on applications of computational mechanics, finite elements,artificial neural networks, optimization algorithms, design regulations and development of computer codes.
The aim in both cases will be to present a modern view of the basic principles and ideas on which the optimization algorithms are based, as well as to look at modern and interesting applications from different domains in order to understand how these algorithms are applied in practice.
Loss functions express the discrepancy between the predictions of the model being trained and the actual problem instances(for example, in classification, one wants to assign a label to instances, andmodels are trained to correctly predict the pre-assigned labels of a set examples). The difference between the two fields arises from the goal of generalization: while optimization algorithms can minimize the loss on a training set, machine learning is concerned with minimizing the loss on unseen samples.[13].
The emphasis is on real-time embedded optimization algorithms for model predictive control of linear, nonlinear, stochastic, distributed, and large-scale dynamical systems, on learning dynamical models and controllers from data, and on applications to problems of practical interest, such as those arising from the automotive industry.
In this particular case, the methodology used is based on the numerical solution of fluid mechanics equations(Navier-Stokes equations),combined with the use of optimization algorithms(evolutionary algorithms, combined with local search methods).
Research in control systems is oriented towards identification- and optimization-based control of dynamical systems,with an emphasis on real-time embedded optimization algorithms for the control of stochastic, distributed, and large-scale dynamical systems, and their application in industrial problems arising from the automotive, aerospace, and smart-grid domains.
The optimization algorithm can be translated into software.
Fixing time inconsistencies(such as overlapping with an optimization algorithm).
Then, UWOT along with an optimization algorithm were used to properly dimension this rainwater harvesting scheme.
An Optimization algorithm is used to determine what donors are best suited for each patient.