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Titlebook: Agent-based Modeling and Simulation; Simon J. E. Taylor Book 2014 Palgrave Macmillan, a division of Macmillan Publishers Limited 2014 Oper

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樓主: Gram114
41#
發(fā)表于 2025-3-28 16:49:01 | 只看該作者
An agent-based simulation approach for the new product diffusion of a novel biomass fuel,et group at which point in time. In this paper, we introduce an agent-based simulation approach that supports decision-makers in these concerns. The practical applicability of our tool is illustrated by means of a case study of a novel, biomass-based fuel that will likely be introduced on the Austrian market within the next 5 years.
42#
發(fā)表于 2025-3-28 19:24:02 | 只看該作者
43#
發(fā)表于 2025-3-29 02:10:55 | 只看該作者
Introducing agent-based modeling and simulation, of patients’ needs? Modeling & simulation (M&S) makes it possible for the A&E manager to create a verifiable and valid computer model of her system and to simulate it under different experimental conditions to understand what is causing the lengthy waiting times and the possible impact of different
44#
發(fā)表于 2025-3-29 05:47:03 | 只看該作者
45#
發(fā)表于 2025-3-29 07:30:27 | 只看該作者
46#
發(fā)表于 2025-3-29 13:31:04 | 只看該作者
Workflow scheduling using multi-agent systems in a dynamically changing environment,e performance in our previous studies. In this context, the Critical Ratio rule, which includes the transportation time into the calculation for the selection of the next job, outperformed all other dispatching rules. We also analyzed the impact of diverse simulation parameters (such as number of pa
47#
發(fā)表于 2025-3-29 18:19:19 | 只看該作者
Sandeep Joshi,Amit Kumar Bairwa,Cem Avsar of patients’ needs? Modeling & simulation (M&S) makes it possible for the A&E manager to create a verifiable and valid computer model of her system and to simulate it under different experimental conditions to understand what is causing the lengthy waiting times and the possible impact of different
48#
發(fā)表于 2025-3-29 20:27:37 | 只看該作者
49#
發(fā)表于 2025-3-30 01:14:36 | 只看該作者
50#
發(fā)表于 2025-3-30 06:16:50 | 只看該作者
,Consolidating Growth: 1978–1985,e performance in our previous studies. In this context, the Critical Ratio rule, which includes the transportation time into the calculation for the selection of the next job, outperformed all other dispatching rules. We also analyzed the impact of diverse simulation parameters (such as number of pa
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