Random optimization

Known as: Random optimisation, Randomized optimization 
Random optimization (RO) is a family of numerical optimization methods that do not require the gradient of the problem to be optimized and RO can… (More)
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Topic mentions per year

Topic mentions per year

1977-2018
0102019772018

Papers overview

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Highly Cited
2013
Highly Cited
2013
Cloud computing is the development of distributed computing, parallel computing and grid computing, or defined as the commercial… (More)
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2011
2011
The main contribution of this paper is the development of a novel hybrid methodology so as to achieve optimal wind turbine… (More)
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2008
2008
We propose a framework for optimization problems based on particle filtering (also called Sequential Monte Carlo method). This… (More)
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2005
2005
When writing can change your life, when writing can enrich you by offering much money, why don't you try it? Are you still very… (More)
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Highly Cited
2004
Highly Cited
2004
We present the first optimal algorithm to compute the maximum <i>Tukey depth</i> (also known as <i>location or halfspace depth</i… (More)
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Highly Cited
2001
Highly Cited
2001
A desire with iterative optimization techniques is that the algorithm reach the global optimum rather than get stranded at a… (More)
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Highly Cited
1999
Highly Cited
1999
Code space is a critical issue facing designers of software for embedded systems. Many traditional compiler optimizations are… (More)
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Highly Cited
1998
Highly Cited
1998
We describe general randomized reductions of certain geometric optimization problems to their corresponding decision problems… (More)
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Highly Cited
1997
Highly Cited
1997
Recent developments in database technology, such as deductive database systems, have given rise to the demand for new, cost… (More)
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1997
1997
4 ABSTRACT: Let F be a family of subsets of 1, . . . , n . We propose a simple randomized n algorithm to estimate the cardinality… (More)
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