Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …
are some of the reasons for their high popularity and acceptance for control in process …
A survey of computational approaches to three-dimensional layout problems
The component layout or packaging problem requires efficient search of large,
discontinuous spaces. This survey paper reviews the state-of-the-art in product layout …
discontinuous spaces. This survey paper reviews the state-of-the-art in product layout …
Simulated annealing: From basics to applications
D Delahaye, S Chaimatanan, M Mongeau - Handbook of metaheuristics, 2018 - Springer
Simulated Annealing (SA) is one of the simplest and best-known metaheuristic method for
addressing difficult black box global optimization problems whose objective function is not …
addressing difficult black box global optimization problems whose objective function is not …
Testing the number of components in a normal mixture
We demonstrate that, under a theorem proposed by Vuong, the likelihood ratio statistic
based on the Kullback–Leibler information criterion of the null hypothesis that a random …
based on the Kullback–Leibler information criterion of the null hypothesis that a random …
[BUCH][B] Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial
optimization and neural computing | Guide books skip to main content ACM Digital Library …
optimization and neural computing | Guide books skip to main content ACM Digital Library …
Global optimization of statistical functions with simulated annealing
Many statistical methods rely on numerical optimization to estimate a model's parameters.
Unfortunately, conventional algorithms sometimes fail. Even when they do converge, there is …
Unfortunately, conventional algorithms sometimes fail. Even when they do converge, there is …
Taskflow: A lightweight parallel and heterogeneous task graph computing system
Taskflow aims to streamline the building of parallel and heterogeneous applications using a
lightweight task graph-based approach. Taskflow introduces an expressive task graph …
lightweight task graph-based approach. Taskflow introduces an expressive task graph …
Optimal design of a CMOS op-amp via geometric programming
SP Boyd, TH Lee - … on Computer-aided design of integrated …, 2001 - ieeexplore.ieee.org
We describe a new method for determining component values and transistor dimensions for
CMOS operational amplifiers (op-amps). We observe that a wide variety of design objectives …
CMOS operational amplifiers (op-amps). We observe that a wide variety of design objectives …
[BUCH][B] Advanced Markov chain Monte Carlo methods: learning from past samples
Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific
computing. This book discusses recent developments of MCMC methods with an emphasis …
computing. This book discusses recent developments of MCMC methods with an emphasis …
[BUCH][B] On-chip communication architectures: system on chip interconnect
S Pasricha, N Dutt - 2010 - books.google.com
Over the past decade, system-on-chip (SoC) designs have evolved to address the ever
increasing complexity of applications, fueled by the era of digital convergence …
increasing complexity of applications, fueled by the era of digital convergence …