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A multiquadrics-based algorithm for the acceleration of simulated annealing optimization procedures
IEEE Transactions on Magnetics, 1996A procedure to significantly reduce the computational cost of the simulated annealing optimization algorithm coupled with analysis methods is proposed for EM devices. The chosen approach relies on the application of the simulated annealing method to an analytical approximation of the true objective function, expressed in the form of a multiquadric ...
Alotto P +3 more
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An Efficient Initialization Procedure for Simulation and Optimization of Large Distillation Problems
Industrial & Engineering Chemistry Research, 1997An efficient initialization procedure for steady-state distillation simulation problems involving a large number of components is presented. The proposed initialization procedure employs lumping and delumping of the components present in the mixture. The problem of initialization is then reduced to a system of component mass balance equations for each ...
Pierre Rabeau +2 more
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COMPUTER SIMULATION: AN EFFECTIVE TOOL FOR TEACHING STATISTICAL OPTIMIZATION PROCEDURES∗
Quality Engineering, 1998* This work was implemented when the first author was working as a Senior Quality Assurance Engineer at Philips Semiconductors (Phils.), Inc.The analysis of response surfaces has become one of the most popular techniques in optimizing and characterizing..
O. O. Atienza, G. Y. Hong
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An Efficient Procedure for Expensive Reservoir-Simulation Optimization Under Uncertainty
SPE Economics & Management, 2013Summary Many oilfield optimization problems concern expensive numerical-reservoir-simulation-based objective functions. These are computationally demanding and can require a significant amount of time to evaluate. With the addition of uncertainty in the underlying models, the computational cost is exacerbated and the collective cost ...
K.. Rashid +3 more
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Systematic optimal design procedures for the Gough-Stewart platform used as motion simulators
Industrial Robot: An International Journal, 2013Purpose – The purpose of this paper is to present systematic optimal design procedures for the Gough-Stewart platforms used as engineering motion simulators. Design/methodology/approach – Three systematic optimal design procedures are proposed to solve the ...
Guojun Liu 0001 +3 more
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Discrete-event simulation optimization using ranking, selection, and multiple comparison procedures
ACM Transactions on Modeling and Computer Simulation, 2003An important use for discrete-event simulation models lies in comparing and contrasting competing design alternatives without incurring any physical costs. This article presents a survey of the literature for two widely used classes of statistical methods for selecting the best design from among a finite set of k ...
James R. Swisher +2 more
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The Choice of the Optimal Machining Procedure by Modelling and Simulation Application
2003For 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
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Sequential Procedures for the "Selection" Problems in Discrete Simulation Optimization
2019The 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
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Co-evolving parasites improve simulated evolution as an optimization procedure
Physica D: Nonlinear Phenomena, 1990Abstract 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.
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