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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… 
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Related topics

Related topics

34 relations
ABS methodsBOBYQABlack–Litterman modelBranch and bound

Broader (1)

Constraint programming

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Constrained optimization by the ε constrained differential evolution with an archive and gradient-based mutation
The ε constrained method is an algorithm transformation method, which can convert algorithms for unconstrained problems to… 
Highly Cited
2010
Highly Cited
2010
Social Emotional Optimization Algorithm for Nonlinear Constrained Optimization Problems
Nonlinear programming problem is one important branch in operational research, and has been successfully applied to various real… 
Highly Cited
2010
Highly Cited
2010
A New Sequential Optimality Condition for Constrained Optimization and Algorithmic Consequences
Necessary first-order sequential optimality conditions provide adequate theoretical tools to justify stopping criteria for… 
Highly Cited
2010
Highly Cited
2010
Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach
Numerous scientific applications across a variety of fields depend on box-constrained convex optimization. Box-constrained… 
Highly Cited
2009
Highly Cited
2009
Infeasibility Driven Evolutionary Algorithm for Constrained Optimization
Real life optimization problems often involve one or more constraints and in most cases, the optimal solutions to such problems… 
Highly Cited
2007
Highly Cited
2007
Symmetric Indefinite Preconditioners for Saddle Point Problems with Applications to PDE-Constrained Optimization Problems
We consider large scale sparse linear systems in saddle point form. A natural property of such indefinite 2-by-2 block systems is… 
Highly Cited
2003
Highly Cited
2003
Self-adaptive fitness formulation for constrained optimization
A self-adaptive fitness formulation is presented for solving constrained optimization problems. In this method, the… 
Highly Cited
1997
Highly Cited
1997
MOBES : A multiobjective evolution strategy for constrained optimization problems
In this paper a new MultiOBjective Evolution Strategy (MOBES) for solving multi-objective optimization problems subject to linear… 
Highly Cited
1996
Highly Cited
1996
Adaptive Penalty Methods for Genetic Optimization of Constrained Combinatorial Problems
The application of genetic algorithms (GA) to constrained optimization problems has been hindered by the inefficiencies of… 
Highly Cited
1986
Highly Cited
1986
NLPQL: A fortran subroutine solving constrained nonlinear programming problems
NLPQL is a FORTRAN implementation of a sequential quadratic programming method for solving nonlinearly constrained optimization… 
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