[LLIBRE][B] Stochastic simulation optimization: an optimal computing budget allocation
CH Chen, LH Lee - 2011 - books.google.com
With the advance of new computing technology, simulation is becoming very popular for
designing large, complex and stochastic engineering systems, since closed-form analytical …
designing large, complex and stochastic engineering systems, since closed-form analytical …
Java quality assurance by detecting code smells
E Van Emden, L Moonen - Ninth Working Conference on …, 2002 - ieeexplore.ieee.org
Software inspection is a known technique for improving software quality. It involves carefully
examining the code, the design, and the documentation of software and checking these for …
examining the code, the design, and the documentation of software and checking these for …
A survey of recent advances in discrete input parameter discrete-event simulation optimization
JR Swisher, PD Hyden, SH Jacobson… - Iie …, 2004 - Taylor & Francis
Discrete-event simulation optimization is a problem of significant interest to practitioners
interested in extracting useful information about an actual (or yet to be designed) system that …
interested in extracting useful information about an actual (or yet to be designed) system that …
Finding the non-dominated Pareto set for multi-objective simulation models
This article considers a multi-objective Ranking and Selection (R+ S) problem, where the
system designs are evaluated in terms of more than one performance measure. The concept …
system designs are evaluated in terms of more than one performance measure. The concept …
Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem
Simulation optimization has received considerable attention from both simulation
researchers and practitioners. In this study, we develop a solution framework which …
researchers and practitioners. In this study, we develop a solution framework which …
Fully sequential procedures for comparing constrained systems via simulation
We consider the problem of finding the system with the best primary performance measure
among a finite number of simulated systems in the presence of a stochastic constraint on a …
among a finite number of simulated systems in the presence of a stochastic constraint on a …
Discrete-event simulation optimization using ranking, selection, and multiple comparison procedures: A survey
An important use for discrete-event simulation models lies in comparing and contrasting
competing design alternatives without incurring any physical costs. This article presents a …
competing design alternatives without incurring any physical costs. This article presents a …
Optimal computing budget allocation for multi-objective simulation models
Simulation plays a vital role in identifying the best system design from among a set of
competing designs. To improve simulation efficiency, ranking and selection techniques are …
competing designs. To improve simulation efficiency, ranking and selection techniques are …
Optimal budget allocation for discrete-event simulation experiments
Simulation plays a vital role in analyzing discrete-event systems, particularly in comparing
alternative system designs with a view to optimizing system performance. Using simulation …
alternative system designs with a view to optimizing system performance. Using simulation …
[PDF][PDF] Bayesian analysis for simulation input and output
SE Chick - Proceedings of the 29th conference on Winter …, 1997 - dl.acm.org
The paper summarizes some important results at the intersection of the fields of Bayesian
statistics and stochastic simulation. Two statistical analysis issues for stochastic simulation …
statistics and stochastic simulation. Two statistical analysis issues for stochastic simulation …