An annotated overview of system-reliability optimization
W Kuo, VR Prasad - IEEE Transactions on reliability, 2000 - ieeexplore.ieee.org
This paper provides: an overview of the methods that have been developed since 1977 for
solving various reliability optimization problems; applications of these methods to various …
solving various reliability optimization problems; applications of these methods to various …
Making ai forget you: Data deletion in machine learning
Intense recent discussions have focused on how to provide individuals with control over
when their data can and cannot be used---the EU's Right To Be Forgotten regulation is an …
when their data can and cannot be used---the EU's Right To Be Forgotten regulation is an …
A real coded genetic algorithm for solving integer and mixed integer optimization problems
In this paper, a real coded genetic algorithm named MI-LXPM is proposed for solving integer
and mixed integer constrained optimization problems. The proposed algorithm is a suitably …
and mixed integer constrained optimization problems. The proposed algorithm is a suitably …
Multi-spectral SIFT for scene category recognition
M Brown, S Süsstrunk - CVPR 2011, 2011 - ieeexplore.ieee.org
We use a simple modification to a conventional SLR camera to capture images of several
hundred scenes in colour (RGB) and near-infrared (NIR). We show that the addition of near …
hundred scenes in colour (RGB) and near-infrared (NIR). We show that the addition of near …
[图书][B] Software reliability assessment with OR applications
Advances in software technologies have promoted the growth of computer-related
applications to a great extent. The proliferation of Internet has gone far beyond even the …
applications to a great extent. The proliferation of Internet has gone far beyond even the …
[图书][B] Optimal reliability design: fundamentals and applications
W Kuo - 2001 - books.google.com
Optimal Reliability Design is a detailed introduction to systems reliability and reliability
optimization. State-of-the-art techniques for maximizing system reliability are described …
optimization. State-of-the-art techniques for maximizing system reliability are described …
SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems
This paper introduces a surrogate model based algorithm for computationally expensive
mixed-integer black-box global optimization problems with both binary and non-binary …
mixed-integer black-box global optimization problems with both binary and non-binary …
Global optimization of mixed‐integer nonlinear problems
mixed-integer BB algorithm GMIN-BB is applicable to a® ery general class of problems for
which the continuous relaxation is twice continuously differentiable. Both algorithms are de® …
which the continuous relaxation is twice continuously differentiable. Both algorithms are de® …
A simulated annealing approach to the solution of MINLP problems
MF Cardoso, RL Salcedo, SF De Azevedo… - Computers & chemical …, 1997 - Elsevier
An algorithm (M-SIMPSA) suitable for the optimization of mixed integer non-linear
programming (MINLP) problems is presented. A recently proposed continuous non-linear …
programming (MINLP) problems is presented. A recently proposed continuous non-linear …
Nonconvex generalized benders decomposition for stochastic separable mixed-integer nonlinear programs
This paper considers deterministic global optimization of scenario-based, two-stage
stochastic mixed-integer nonlinear programs (MINLPs) in which the participating functions …
stochastic mixed-integer nonlinear programs (MINLPs) in which the participating functions …