Constrained optimization

Known as: Soft constraint, Hard constraint, Constraint optimization 
In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1957-2018
020040019572017

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… (More)
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
2010
Highly Cited
2010
We propose a new fast algorithm for solving one of the standard formulations of image restoration and reconstruction which… (More)
  • table I
  • figure 1
  • figure 2
  • table II
  • table III
Is this relevant?
Highly Cited
2007
Highly Cited
2007
This paper presents the comparison results on the performance of the Artificial Bee Colony (ABC) algorithm for constrained… (More)
  • table 1
  • table 2
  • table 3
  • table 4
Is this relevant?
Highly Cited
2003
Highly Cited
2003
A self-adaptive fitness formulation is presented for solving constrained optimization problems. In this method, the… (More)
  • figure 1
  • figure 3
  • figure 2
  • figure 4
  • table I
Is this relevant?
Highly Cited
2002
Highly Cited
2002
Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with… (More)
  • table 1.1
  • table 1.2
Is this relevant?
Highly Cited
2002
Highly Cited
2002
The performance of the Particle Swarm Optimization method in coping with Constrained Optimization problems is investigated in… (More)
  • table 1
Is this relevant?
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… (More)
  • figure 1
  • table I
  • table II
  • table III
  • table IV
Is this relevant?
Highly Cited
1995
Highly Cited
1995
An algorithm for solving large nonlinear optimization problems with simple bounds is de scribed It is based on the gradient… (More)
Is this relevant?
Highly Cited
1990
Highly Cited
1990
We use a statistical framework for finding boundaries and for partitioning scenes into homogeneous regions. The model is a joint… (More)
  • figure 4
  • figure 9
  • figure 15
  • figure 13
  • figure 18
Is this relevant?
Highly Cited
1978
Highly Cited
1978
An algorithm for solving large-scale nonlinear' programs with linear constraints is presented. The method combines efficient… (More)
  • table 3
  • table 5
  • table 6
Is this relevant?