mini-des is a lightweight Python framework for building simulations. It combines the computational efficiency of Discrete-Event Simulation (DES) with the flexible and intuitive modeling paradigm of ...
Based on presentation to IEEE's 2010 Winter Simulation Conference, Baltimore, Dec. 5-8, 2010. A discrete-event simulation technique, combined with optimization tools, permits easy management of ...
Abstract: Mining a discrete event simulation model from data has always been a big challenge, which is related to the problem of system inference in systems theory. D2FD (Data to Fuzzy-DEVS model) ...
This GitHub repository is the companion codebase to our manuscript on the Discrete-Event Simulation Model for Cancer Interventions and Population Health in R (DESCIPHR) modeling pipeline. Together, ...
Abstract: This paper reports on an empirical study that explores the model development process followed by six expert modelers in discrete-event simulation (DES). So far the model development practice ...
Data truncation is a commonly accepted method of dealing with initialization bias in discrete-event simulation. An algorithm for determining the appropriate initial-data truncation point for ...
Concepts from software engineering and knowledge engineering are incorporated into discrete, next-event simulation. The existing, conventional world-view utilized within discrete simulation is ...
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