In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objectiveâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- Angelia Nedic, Asuman E. Ozdaglar, Pablo A. Parrilo
- IEEE Transactions on Automatic Control
- 2010

We present distributed algorithms that can be used by multiple agents to align their estimates with a particular value over aâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- Manya V. Afonso, José M. Bioucas-Dias, MÃ¡rio A. T. Figueiredo
- IEEE Transactions on Image Processing
- 2010

We propose a new fast algorithm for solving one of the standard formulations of image restoration and reconstruction whichâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- Dervis Karaboga, Bahriye Basturk
- IFSA
- 2007

This paper presents the comparison results on the performance of the Artificial Bee Colony (ABC) algorithm for constrainedâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- Raziyeh Farmani, Jonathan A. Wright
- IEEE Trans. Evolutionary Computation
- 2003

A self-adaptive fitness formulation is presented for solving constrained optimization problems. In this method, theâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- Philip E. Gill, Walter Murray, Michael A. Saunders
- SIAM Review
- 2002

Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems withâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

The performance of the Particle Swarm Optimization method in coping with Constrained Optimization problems is investigated inâ€¦Â (More)

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Highly Cited

2000

Highly Cited

2000

- Thomas Philip Runarsson, Xin Yao
- IEEE Trans. Evolutionary Computation
- 2000

Penalty functions are often used in constrained optimization. However, it is very difficult to strike the right balance betweenâ€¦Â (More)

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Highly Cited

1995

Highly Cited

1995

- Richard H. Byrd, Peihuang Lu, Jorge Nocedal, Ciyou Zhu
- SIAM J. Scientific Computing
- 1995

An algorithm for solving large nonlinear optimization problems with simple bounds is de scribed It is based on the gradientâ€¦Â (More)

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Highly Cited

1990

Highly Cited

1990

- Donald Geman, Stuart Geman, Christine Graffigne, Ping Dong
- IEEE Trans. Pattern Anal. Mach. Intell.
- 1990

We use a statistical framework for finding boundaries and for partitioning scenes into homogeneous regions. The model is a jointâ€¦Â (More)

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Highly Cited

1978

Highly Cited

1978

- Bruce A. Murtagh, Michael A. Saunders
- Math. Program.
- 1978

An algorithm for solving large-scale nonlinear' programs with linear constraints is presented. The method combines efficientâ€¦Â (More)

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