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Interval branch-and-bound algorithms for optimization and constraint satisfaction: a survey and prospects
Abstract Interval Branch and Bound algorithms are used to solve rigorously continuous
constraint satisfaction and constrained global optimization problems. In this paper, we …
constraint satisfaction and constrained global optimization problems. In this paper, we …
New approaches in reliability based optimization of tuned mass damper in presence of uncertain bounded parameters
This work deals with control of vibrating structures using tuned mass damper (TMD) in
presence of uncertain bounded structural parameters. The adopted optimization strategy of …
presence of uncertain bounded structural parameters. The adopted optimization strategy of …
A revised monotonicity-based method for computing tight image enclosures of functions
The computation of tight interval image enclosures of functions over bounded variable
domains is in the heart of interval-based branch and bound optimization (and constraint …
domains is in the heart of interval-based branch and bound optimization (and constraint …
Interval tools in branch-and-bound methods for global optimization
J Fernández, B G.-Tóth - The Palgrave Handbook of Operations Research, 2022 - Springer
Interval analysis has been applied with success at solving continuous nonlinear
programming problems. In this chapter we review the most relevant research on interval …
programming problems. In this chapter we review the most relevant research on interval …
Robust set‐membership parameter estimation of the glucose minimal model
The minimal model of glucose‐insulin dynamics is currently being used in several diabetes‐
related applications, such as investigating the glucose metabolism, and in the developments …
related applications, such as investigating the glucose metabolism, and in the developments …
Model-order reduction using interval constraint solving techniques
Model-Order Reduction Using Interval Constraint Solving Techniques Page 1 University of
Texas at El Paso ScholarWorks@UTEP Departmental Technical Reports (CS) Computer …
Texas at El Paso ScholarWorks@UTEP Departmental Technical Reports (CS) Computer …
Adaptive filtering strategy for numerical constraint satisfaction problems
The reliability and increasing performance of search-tree-based interval solvers for solving
numerical systems of constraints make them applicable to various expert system domains …
numerical systems of constraints make them applicable to various expert system domains …
Comparison of strategies for solving global optimization problems using speculation and interval computations
AFG Contreras, M Ceberio - 2016 Annual Conference of the …, 2016 - ieeexplore.ieee.org
Many real-life situations require that a match between quantities, behaviors, etc. be found.
That is the case, for instance, when scientists try to find a fit between two sets of data, or a set …
That is the case, for instance, when scientists try to find a fit between two sets of data, or a set …
[PDF][PDF] A new approach in reliability based design optimization of Tuned Mass Damper in seismic vibration control of structures with bounded uncertain parameters
In this work a reliability based optimization of Tuned Mass Damper (TMD) parameters in
seismic vibration control under uncertain system parameters is presented and two questions …
seismic vibration control under uncertain system parameters is presented and two questions …
[PDF][PDF] Adaptive use of extended systems for the efficient verified solution of nonlinear systems
E Just - 2014 - elekpub.bib.uni-wuppertal.de
Adaptive use of extended systems for the efficient verified solution of nonlinear systems
Page 1 Adaptive use of extended systems for the efficient verified solution of nonlinear …
Page 1 Adaptive use of extended systems for the efficient verified solution of nonlinear …