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These codec adaptation schemes and policies have been evaluated through a C++ simulator, developed from scratch using the COST simulation toolkit [31].
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The models were developed using process and cost simulation software (SuperPro Designer®) and include processing information such as composition and flow rates of the various process streams, descriptions of the various unit operations and detailed breakdowns of the operating and capital cost of the facility.
Flux distributions for six E. coli knockout strains reported by Ishii et al. [ 61] were compared to cost-optimal simulations using the combined cost function.
Given the varied benefits of using the simulation packages such as; cost efficiency, time, risk mitigation, greater insights and user friendliness of systems.
Lifetime diabetes-related costs for the prevalent cohort are estimated using the lifetime simulation model for diabetes progression described below.
To further validate this analysis, simulations using the combined cost function were also compared to gene expression values reported in the MFA studies [ 61, 62].
The resulting wastewater discharge schedules of the industries have been analyzed using the IWA/COST simulation benchmark as a case study.
This paper presents the development of a 3D mechanical maintenance training simulator for this context, using a low-cost simulation platform and a software architecture that separates simulation control from simulation visualization, in view of enabling more agile adaptation of simulators.
Using simulations, the cost efficiency of the ground based and ALS-aided surveys was assessed by evaluating accuracy against inventory cost for various sampling intensities.
To study the impact of LCNB and NLBB on health effects and costs, we used the simulation model MISCAN (van Oortmarssen et al, 1990; Boer et al, 1995; de Koning et al, 1995).
All three examples show that compared with a full-set robust optimization, the proposed adaptive robust optimization algorithm not only improves the optimization convergence rate, but also find a higher optimal NPV when the optimization is terminated at a maximum affordable simulation cost using the stochastic simplex gradient.
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