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Constrained optimization
Known as:
Soft constraint
, Hard constraint
, Constraint optimization
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In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective…
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Related topics
Related topics
34 relations
ABS methods
BOBYQA
Black–Litterman model
Branch and bound
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Broader (1)
Constraint programming
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Constrained Consensus and Optimization in Multi-Agent Networks
A. Nedić
,
A. Ozdaglar
,
P. Parrilo
IEEE Transactions on Automatic Control
2008
Corpus ID: 10240521
We present distributed algorithms that can be used by multiple agents to align their estimates with a particular value over a…
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Highly Cited
2007
Highly Cited
2007
Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
D. Karaboğa
,
B. Basturk
International Fuzzy Systems Association World…
2007
Corpus ID: 6379724
This paper presents the comparison results on the performance of the Artificial Bee Colony (ABC) algorithm for constrained…
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Highly Cited
2006
Highly Cited
2006
Mesh Adaptive Direct Search Algorithms for Constrained Optimization
Charles Audet
,
J. Dennis
SIAM Journal on Optimization
2006
Corpus ID: 10010
This paper addresses the problem of minimization of a nonsmooth function under general nonsmooth constraints when no derivatives…
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Highly Cited
2002
Highly Cited
2002
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
P. Gill
,
W. Murray
,
M. Saunders
SIAM Journal on Optimization
2002
Corpus ID: 17161273
Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with…
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Highly Cited
2000
Highly Cited
2000
Stochastic ranking for constrained evolutionary optimization
T. Runarsson
,
X. Yao
IEEE Transactions on Evolutionary Computation
2000
Corpus ID: 13579058
Penalty functions are often used in constrained optimization. However, it is very difficult to strike the right balance between…
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Highly Cited
1997
Highly Cited
1997
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
C. Zhu
,
R. Byrd
,
P. Lu
,
J. Nocedal
TOMS
1997
Corpus ID: 207228122
L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds on the…
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Highly Cited
1995
Highly Cited
1995
A Limited Memory Algorithm for Bound Constrained Optimization
R. Byrd
,
P. Lu
,
J. Nocedal
,
C. Zhu
SIAM Journal on Scientific Computing
1995
Corpus ID: 6398414
An algorithm for solving large nonlinear optimization problems with simple bounds is described. It is based on the gradient…
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Highly Cited
1994
Highly Cited
1994
Constrained Optimization Via Genetic Algorithms
A. Homaifar
,
Charlene X. Qi
,
S. Lai
International Conference on Advances in System…
1994
Corpus ID: 21700696
This paper presents an application of genetic algorithms (GAs) to nonlinear constrained optimization. GAs are general purpose…
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Highly Cited
1977
Highly Cited
1977
Semismooth and Semiconvex Functions in Constrained Optimization
R. Mifflin
1977
Corpus ID: 123492253
We introduce semismooth and semiconvex functions and discuss their properties with respect to nonsmooth nonconvex constrained…
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Highly Cited
1965
Highly Cited
1965
A New Method of Constrained Optimization and a Comparison With Other Methods
M. J. Box
Computer/law journal
1965
Corpus ID: 61286754
A new method for finding the maximum of a general non-linear function of several variables within a constrained region is…
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