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Sequential quadratic programming

Known as: SQP 
Sequential quadratic programming (SQP) is an iterative method for nonlinear optimization. SQP methods are used on mathematical problems for which the… Expand
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Papers overview

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Highly Cited
2008
Highly Cited
2008
This study presents a hybrid harmony search algorithm (HHSA) to solve engineering optimization problems with continuous design… Expand
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Highly Cited
2006
Highly Cited
2006
Evolutionary algorithms are heuristic methods that have yielded promising results for solving nonlinear, nondifferentiable, and… Expand
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Highly Cited
2006
Highly Cited
2006
This paper presents an algorithm that achieves the hydro unit commitment in hydrothermal systems. This problem is difficult to… Expand
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Highly Cited
2004
Highly Cited
2004
Control allocation problems can be formulated as optimization problems, where the objective is typically to minimize the use of… Expand
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Highly Cited
2000
Highly Cited
2000
The sequential quadratic programming (SQP) algorithm has been one of the most successful general methods for solving nonlinear… Expand
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Highly Cited
2000
Highly Cited
2000
Abstract.An algorithm for minimizing a nonlinear function subject to nonlinear inequality constraints is described. It applies… Expand
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Highly Cited
1999
Highly Cited
1999
The design and implementation of a new algorithm for solving large nonlinear programming problems is described. It follows a… Expand
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Highly Cited
1998
Highly Cited
1998
A sequential quadratic programming (SQP) algorithm generating feasible iterates is described and analyzed. What distinguishes… Expand
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Highly Cited
1995
Highly Cited
1995
Since its popularization in the late 1970s, Sequential Quadratic Programming (SQP) has arguably become the most successful method… Expand
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Highly Cited
1988
Highly Cited
1988
 
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