Mostrando 1 - 20 resultados de 2.083 para a busca '((algorithm solving) OR (algorithm using)) problems', tempo de busca: 0,22s

1

Assuntos: ...Shooting algorithm...

On the shooting algorithm for partially affine control problems

Publicado em 2020
Dissertação

2

... of this thesis proposes a GPU-accelerated backtracking algorithm using CDP that extends a well-known...

GPU-based backtracking strategies for solving permutation combinatorial problems

Publicado em 2017
Tese

3

... on the well-known error backpropagation algorithm. Inspired by the recent applications of deep learning...

Planning in stochastic computation graphs: solving stochastic nonlinear problems with backpropagation

Publicado em 2021
Tese

5

... particle swarm for solving dynamic constrained optimization problems. The Shannons entropy is established...

Development of an entropy-based swarm algorithm for continuous dynamic constrained optimization

Publicado em 2017
Tese

7

... um EDA através da expansão multivariada de cópulas (EDA-MEC – Estimation of Distribution Algorithm based...

[en] NONCONVEX FUNCTIONS OPTIMIZATION USING AN ESTIMATION OF DISTRIBUTION ALGORITHM BASED ON MULTIVARIATE COPULAS

Publicado em 2016
Tese

9

...This thesis concerns a class of inverse potential problems which, in turn, can be seen...

A noniterative reconstruction method based on higher-order topological derivatives for solving a class of inverse problems

Publicado em 2019
Tese

10

Assuntos: ...GISA (Genetic algorithm social interaction)...

Algoritmo genético com interação social nebulosa

Publicado em 2012
Tese

12

... path between two nodes by using dynamics involving local pheromone evaporation. This algorithm has...

A proposal for an improved version of EigenAnt algorithm with performance evaluation on combinatorial optimization problems

Publicado em 2017
Tese

15

Assuntos: ...Evolutionary algorithm...

Using deep learning and evolutionary algorithms for time series forecasting

Publicado em 2018
Dissertação

18

... based on Evolutionary Computation. However, choosing the most appropriate algorithm to solve a certain...

Using multi-agent systems and social choice theory to design hyper-heuristics for multi-objective optimization problems.

Publicado em 2022
Tese

19

Assuntos: ...Dynamic algorithm...

Unrestricted dynamic Gröbner Basis algorithms

Publicado em 2019
Dissertação