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Highly Cited

2018

Highly Cited

2018

This chapter collects several probabilistic tools that have proven to be useful in the analysis of randomized search heuristics… Expand

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2017

2017

In this paper, we consider smooth convex optimization problems with simple constraints and inexactness in the oracle information… Expand

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2014

2014

Finding the global minimum of a cost function given by the sum of a quadratic and a linear form in N real variables over (N−1… Expand

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Highly Cited

2014

Highly Cited

2014

Uncertain random variables are used to describe the phenomenon of simultaneous appearance of both uncertainty and randomness in a… Expand

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Highly Cited

2008

Highly Cited

2008

Quantum-behaved particle swarm optimization (QPSO) algorithm is a global convergence guaranteed algorithms, which outperforms… Expand

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Highly Cited

2008

Highly Cited

2008

We examine the theoretical and numerical global convergence properties of a certain ldquogradient freerdquo stochastic… Expand

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Highly Cited

2003

Highly Cited

2003

Fuzzy random variable is a measurable mapping from a probability space to a collection of fuzzy variables. This concept may be… Expand

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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… Expand

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Highly Cited

1997

Highly Cited

1997

Abstract. Recent developments in database technology, such as deductive database systems, have given rise to the demand for new… Expand

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1977

1977

Abstract The purpose of this paper is to investigate the random optimization method which has been contrived for the minimization… Expand

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