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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
2011
Highly Cited
2011
Chaotic differential evolution methods for dynamic economic dispatch with valve-point effects
Highly Cited
2010
Highly Cited
2010
A geometric approach to improve spectrum efficiency for cognitive relay networks
Cognitive radio (CR) enables dynamic spectrum access (DSA). In CR networks (CRNs), unlicensed cognitive users (CUs) can share the… 
Highly Cited
2009
Highly Cited
2009
Existence of solutions for variational inequalities on Riemannian manifolds
Highly Cited
2006
Highly Cited
2006
ASSET ALLOCATION AND ANNUITY‐PURCHASE STRATEGIES TO MINIMIZE THE PROBABILITY OF FINANCIAL RUIN
In this paper, we derive the optimal investment and annuitization strategies for a retiree whose objective is to minimize the… 
Highly Cited
2005
Highly Cited
2005
Using cooperative mediation to coordinate traffic lights: a case study
Several approaches tackle the problem of reducing traffic jams. A class of these approaches deals with coordination of traffic… 
Highly Cited
2005
Highly Cited
2005
Optimal adaptation decision-taking for terminal and network quality-of-service
In order to cater to the diversity of terminals and networks, efficient, and flexible adaptation of multimedia content in the… 
Highly Cited
2003
Highly Cited
2003
Incorporating Illumination Constraints in Deformable Models for Shape from Shading and Light Direction Estimation
We present a method for the integration of nonlinear holonomic constraints in deformable models and its application to the… 
Highly Cited
2001
Highly Cited
2001
Utility-based power control in cellular wireless systems
Distributed power control algorithms for systems with hard SIR constraints may diverge when infeasibility arises. We present a… 
Highly Cited
1996
Highly Cited
1996
Nonlinear Optimization and Applications
Towards a Discrete Newton Method with Memory for Largescale Optimization R.H. Byrd, et al. On Regularity for Generalized Systems… 
Highly Cited
1994
Highly Cited
1994
Using a genetic algorithm to optimize problems with feasibility constraints
G.E. Liepins et al. (1990) have shown that genetic algorithm optimization of certain combinatorial optimization problems can be… 
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