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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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AIMMS
AMPL
Algorithm
Ancestral reconstruction
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Evolutionary algorithms and artificial immune systems on a bi-stable dynamic optimisation problem
T. Jansen
,
C. Zarges
Annual Conference on Genetic and Evolutionary…
2014
Corpus ID: 16353865
Dynamic optimisation is an important area of application for evolutionary algorithms and other randomised search heuristics…
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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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2007
2007
GREY-BOX MODEL IDENTIFICATION VIA EVOLUTIONARY COMPUTING
K. Tan
2007
Corpus ID: 16162792
This paper presents an evolutionary grey-box model identification methodology that makes the best use of a-priori knowledge on a…
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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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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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