Results 281 to 290 of about 41,270 (311)
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The Choice of the Optimal Machining Procedure by Modelling and Simulation Application

2003
For the past ten years the modelling and simulation is most often applied in manufacturing activities for the purpose of optimization, controlling and increasing of the productivity of manufacturing processes. Mathematical modelling and simulation are superstructure methods whose basic aim is the innovation of existing processes, modernizing and ...
Jurković, Zoran, Jurković, Milan
openaire   +2 more sources

Co-evolving parasites improve simulated evolution as an optimization procedure

Physica D: Nonlinear Phenomena, 1990
Abstract This paper shows an example of how simulated evolution can be applied to a practical optimization problem, and more specifically, how the addition of co-evolving parasites can improve the procedure by preventing the system from sticking at local maxima.
openaire   +1 more source

Sequential Procedures for the "Selection" Problems in Discrete Simulation Optimization

2019
The simulation optimization problems refer to the nonlinear optimization problems whose objective function can be evaluated through stochastic simulations. We study two significant discrete simulation optimization problems in this thesis: Ranking and Selection (R&S) and Factor Screening (FS). Both R&S and FS are the "selection" problems defined
openaire   +1 more source

Enhancing Evolutionary Algorithms with Statistical Selection Procedures for Simulation Optimization

Proceedings of the Winter Simulation Conference, 2005., 2006
Peter Buchholz 0001, Axel Thümmler
openaire   +1 more source

Selecting the optimum by searching and ranking procedures in simulation-based optimization

2008
Given a set of competing system alternatives to be evaluated and compared via simulation, Ranking and Selection (R&S) procedures are commonly applied to select the best system with respect to a predefined performance measure. In this paper we focus on two major classes of R&S techniques usually referred to as the subset selection and indifference-zone ...
LEGATO Pasquale, MAZZA Rina Mary
openaire   +1 more source

Simple procedure for optimizing model of NaI(Tl) detector using Monte Carlo simulation

Journal of Radioanalytical and Nuclear Chemistry, 2019
Truong Thanh Sang   +2 more
exaly  

An approach for optimizing multiresponse simulation models

Computers and Industrial Engineering, 1991
Mansooreh Mollaghasemi   +2 more
exaly  

Optimizing maintenance and repair policies via a combination of genetic algorithms and Monte Carlo simulation

Reliability Engineering and System Safety, 2000
M Marseguerra, Enrico Zio
exaly  

Validation of gamma scanning method for optimizing NaI(Tl) detector model in Monte Carlo simulation

Applied Radiation and Isotopes, 2019
Huynh Dinh Chuong   +2 more
exaly  

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