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IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010
We present a new class of methods for the global optimization of continuous variables based on simulated annealing (SA). The coupled SA (CSA) class is characterized by a set of parallel SA processes coupled by their acceptance probabilities. The coupling is performed by a term in the acceptance probability function, which is a function of the energies ...
Samuel Xavier de Souza +3 more
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We present a new class of methods for the global optimization of continuous variables based on simulated annealing (SA). The coupled SA (CSA) class is characterized by a set of parallel SA processes coupled by their acceptance probabilities. The coupling is performed by a term in the acceptance probability function, which is a function of the energies ...
Samuel Xavier de Souza +3 more
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Efficient Simulation via Coupling
Probability in the Engineering and Informational Sciences, 1996This paper is concerned with how coupling can be used to enhance the efficiency of a certain class of terminating simulations, in Markov process settings in which the stationary distribution is known. We are able to theoretically establish that our coupling-based estimator is often more efficient than the naive estimator.
Glynn, Peter W., Wong, Eugene W.
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IFAC Proceedings Volumes, 1997
Abstract The simulation of the dynamics of an entire vehicle requires the modeling of many components, which influence the overall system behavior. A detailed simulation model of the system dynamics of a vehicle shows the limits of available simulation tools, which are mainly specialized on certain physical disciplines, e.g.
Jochen Rauh, Alexander Eichberger
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Abstract The simulation of the dynamics of an entire vehicle requires the modeling of many components, which influence the overall system behavior. A detailed simulation model of the system dynamics of a vehicle shows the limits of available simulation tools, which are mainly specialized on certain physical disciplines, e.g.
Jochen Rauh, Alexander Eichberger
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IEEE Power Engineering Society General Meeting, 2005, 2005
It is crucial that electrical engineering students are exposed to the functioning of the electricity market. This paper discusses a lab developed for that purpose. In the lab, students are assigned a generation park with plants in different European countries.
L. Meeus +3 more
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It is crucial that electrical engineering students are exposed to the functioning of the electricity market. This paper discusses a lab developed for that purpose. In the lab, students are assigned a generation park with plants in different European countries.
L. Meeus +3 more
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Electrical-thermal-structural coupling simulation for electrosurgery simulators
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011An electrosurgery is a fundamental operation that utilizes Joule heat generated by the passage of a radiofrequency current. Surgical simulators are demanded for training of the electrosurgical skill with fewer complications. However, foregoing simulators have never implemented a series of physics phenomena in electrosurgery. The aim of this study is to
Yoshihiro Kuroda +3 more
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Electro-thermal circuit simulation using simulator coupling
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 1997The paper presents a methodology for simulating the static and dynamic performance of integrated circuits in the presence of electro-thermal interactions on the integrated circuit die. The technique is based on the coupling of a finite element method (FEM) program with a circuit simulator.
S. Wünsche +3 more
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Operations Research, 1990
Assume that we wish to generate two samples of n independent identically distributed random variables, (X1,…, Xn) and (Y1,…, Yn), where X1 and Y1 have densities f and g, respectively. If these samples are used in a simulation, and f is close to g, it is sometimes desirable to have close simulation results.
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Assume that we wish to generate two samples of n independent identically distributed random variables, (X1,…, Xn) and (Y1,…, Yn), where X1 and Y1 have densities f and g, respectively. If these samples are used in a simulation, and f is close to g, it is sometimes desirable to have close simulation results.
openaire +2 more sources