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Global optimization
Known as:
Global minimization
, Global optimisation
, Local minimization
Global optimization is a branch of applied mathematics and numerical analysis that deals with the global optimization of a function or a set of…
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Related topics
Related topics
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AIMMS
AMPL
Algorithm
Ancestral reconstruction
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Local Contrast and Mean based Thresholding Technique in Image Binarization
O. Singh
,
O. James
,
Tejmani Sinam
2012
Corpus ID: 16710285
is a process of separation of pixel values of an input image into two pixel values like white as background and black as…
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2010
2010
The Research of Internet of Things' Supporting Technologies Which Face the Logistics Industry
Yuqiang Chen
,
Jianlan Guo
,
Xuanzi Hu
International Conference on Computational…
2010
Corpus ID: 16070175
This paper base on the application of the Internet of things in the logistics industry as the breakthrough point, to investigate…
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2007
2007
Covariance matrix repairing in Gaussian based EDAs
Weishan Dong
,
X. Yao
IEEE Congress on Evolutionary Computation
2007
Corpus ID: 11440375
Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs). In this paper, we analyze…
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2006
2006
Recognizing heuman actions based on motion information and SVM
Hongying Meng
,
Nick E. Pears
,
Chris Bailey
2006
Corpus ID: 8424456
In this paper, we propose a new system for human action recognition with a view to applications in security systems, man-machine…
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2003
2003
Centralisation and decentralisation in network centric warfare
A. Dekker
2003
Corpus ID: 12926757
In this paper, we examine the spectrum of choices between organisational centralisation and decentralisation in the presence of…
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2001
2001
Hybrid constrained simulated annealing and genetic algorithms for nonlinear constrained optimization
B. Wah
,
Yixin Chen
Proceedings of the Congress on Evolutionary…
2001
Corpus ID: 16066854
The paper presents a framework that unifies various search mechanisms for solving constrained nonlinear programming (NLP…
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1998
1998
Sequential Monte Carlo methods for optimisation of neural network models
J. Freitas
,
M. Niranjan
,
A. Gee
,
A. Doucet
1998
Corpus ID: 15959772
We discuss a novel strategy for training neural networks using sequential Monte Carlo algorithms and propose a new hybrid…
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1997
1997
Surface Recovery from Range Images Using Curvature and Motion Consistency
G. Soucy
Computer Vision and Image Understanding
1997
Corpus ID: 41570756
A key problem in the recovery of scene descriptions from multiple views is the fusion of information from different vantage…
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1979
1979
The Indefinite Quadratic Programming Problem
Paul F. Kough
Operational Research
1979
Corpus ID: 40663081
We develop several algorithms that obtain the global optimum to the indefinite quadratic programming problem. A generalized…
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Highly Cited
1977
Highly Cited
1977
Cluster Analysis Using Seed Points and Density-Determined Hyperspheres as an Aid to Global Optimization
A. A. Torn
IEEE Transactions on Systems, Man and Cybernetics
1977
Corpus ID: 24430430
A model for finding the local optima of a multimodal function defined in a region A ¿ Rn is proposed. The method uses a local…
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