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在“
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命中:
1,728
条,耗时:0.0220208 秒
在所有数据库中总计命中:
3,209
条
1.
Bounds tightening based on optimality conditions for nonconvex box-constrained
optimization
作者:
Yash Puranik
;
Nikolaos V. Sahinidis
关键词:
Global
optimization
;
Bounds tightening
;
Optimality conditions
;
Box
;
constrained
optimization
刊名:Journal of Global
Optimization
出版年:2017
2.
Optimal dynamic data layouts for 2D FFT on 3D
memory
integrated FPGA
作者:
Ren Chen
;
Shreyas G. Singapura
;
Viktor K. Prasanna
关键词:
2D FFT
;
FPGA acceleration
;
3D
memory
;
Throughput
optimization
;
Dynamic data layout
刊名:The Journal of Supercomputing
出版年:2017
3.
A GPU parallelization of branch-and-bound for multiproduct batch plants
optimization
作者:
Andrey Borisenko
;
Michael Haidl
;
Sergei Gorlatch
关键词:
GPU computing
;
CUDA
;
Parallel branch
;
and
;
bound
;
Combinatorial
optimization
;
Multi
;
product batch plant design
刊名:The Journal of Supercomputing
出版年:2017
4.
Weighted heuristic anytime search: new schemes for
optimization
over graphical models
作者:
Natalia Flerova
;
Radu Marinescu…
关键词:
Graphical models
;
Heuristic search
;
Anytime weighted heuristic search
;
Combinatorial
optimization
;
Weighted CSP
;
Most Probable Explanation
刊名:Annals of Mathematics and Artificial Intelligence
出版年:2017
5.
A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy
作者:
Radhia Azzouz
;
Slim Bechikh
;
Lamjed Ben Said
关键词:
Change severity sensing
;
Dynamic multi
;
objective
optimization
;
Time
;
changing objective functions
;
Adaptive population management
;
Memory
;
based strategy
;
Local search
;
based strategy
;
Change severity
;
based strategy
刊名:Soft Computing
出版年:2017
6.
An efficient algorithm based on artificial neural networks and particle swarm
optimization
for solution of nonlinear Troesch’s problem
作者:
Neha Yadav
;
Anupam Yadav
;
Manoj Kumar
;
Joong Hoon Kim
关键词:
Artificial neural network technique
;
Backpropagation algorithm
;
Plasma column
;
Particle swarm
optimization
刊名:Neural Computing and Applications
出版年:2017
7.
On solving L-SR1 trust-region subproblems
作者:
Johannes Brust
;
Jennifer B. Erway…
关键词:
Large
;
scale unconstrained
optimization
;
Trust
;
region methods
;
Limited
;
memory
quasi
;
Newton methods
;
Symmetric rank
;
one update
刊名:Computational
Optimization
and Applications
出版年:2017
8.
Online
optimization
for max-norm regularization
作者:
Jie Shen
;
Huan Xu
;
Ping Li
关键词:
Low
;
rank matrix
;
Max
;
norm
;
Stochastic
optimization
;
Matrix factorization
刊名:Machine Learning
出版年:2017
9.
Work-Energy Profiles: General Approach and In-
Memory
Database Application
关键词:
Energy efficiency
;
In
;
memory
database systems
;
Benchmarking
;
Profiles
刊名:Lecture Notes in Computer Science
出版年:2017
10.
Using low-power platforms for Evolutionary Multi-Objective
Optimization
algorithms
作者:
J. J. Moreno
;
G. Ortega
;
E. Filatovas
;
J. A. Martínez…
关键词:
Evolutionary Multi
;
Objective algorithms
;
Energy efficiency
;
Low
;
power platform
;
Jetson
;
NSGA
;
II
刊名:The Journal of Supercomputing
出版年:2017
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