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Highly Cited

2010

Highly Cited

2010

We present distributed algorithms that can be used by multiple agents to align their estimates with a particular value over a… Expand

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Highly Cited

2007

Highly Cited

2007

This paper presents the comparison results on the performance of the Artificial Bee Colony (ABC) algorithm for constrained… Expand

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Highly Cited

2006

Highly Cited

2006

This paper addresses the problem of minimization of a nonsmooth function under general nonsmooth constraints when no derivatives… Expand

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Highly Cited

2005

Highly Cited

2005

Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with… Expand

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Highly Cited

2002

Highly Cited

2002

Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with… Expand

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Highly Cited

2000

Highly Cited

2000

Penalty functions are often used in constrained optimization. However, it is very difficult to strike the right balance between… Expand

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Highly Cited

1997

Highly Cited

1997

L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds on the… Expand

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Highly Cited

1995

Highly Cited

1995

An algorithm for solving large nonlinear optimization problems with simple bounds is described. It is based on the gradient… Expand

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Highly Cited

1994

Highly Cited

1994

This paper presents an application of genetic algorithms (GAs) to nonlinear constrained optimization. GAs are general purpose… Expand

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Highly Cited

1977

Highly Cited

1977

We introduce semismooth and semiconvex functions and discuss their properties with respect to nonsmooth nonconvex constrained… Expand

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