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Review

2018

Review

2018

Bayesian optimization is an approach to optimizing objective functions that take a long time (minutes or hours) to evaluate. It… Expand

Review

2018

Review

2018

Fixed-time cooperative control is currently a hot research topic in multiagent systems since it can provide a guaranteed settling… Expand

Highly Cited

2012

Highly Cited

2012

Alternating direction methods (ADMs) have been well studied in the literature, and they have found many efficient applications in… Expand

Highly Cited

2012

Highly Cited

2012

We propose a new stochastic gradient method for optimizing the sum of a finite set of smooth functions, where the sum is strongly… Expand

Highly Cited

2011

Highly Cited

2011

We consider the problem of optimizing the sum of a smooth convex function and a non-smooth convex function using proximal… Expand

Highly Cited

2011

Highly Cited

2011

We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in… Expand

Highly Cited

2009

Highly Cited

2009

In this paper, we intend to formulate a new meta-heuristic algorithm, called Cuckoo Search (CS), for solving optimization… Expand

Highly Cited

2001

Highly Cited

2001

It is well known that the analysis of the large-time asymptotics of Fokker-Planck type equations by the entropy method is closely… Expand

Highly Cited

1997

Highly Cited

1997

The high elevations of the Himalaya and Tibet result from the continuing collision between India and Asia, which started more… Expand

Highly Cited

1986

Highly Cited

1986

The annealing algorithm is a stochastic optimization method which has attracted attention because of its success with certain… Expand