Hybrid Simulation Framework for Multi-hazard Testing

A Workflow Hybrid as a Multi-model, Multi-paradigm Simulation Framework

We propose that workflow software can be coupled with existing simulation frameworks (particularly agent-based ones) to provide three broad benefits: an improved modelling process due to the separation of concerns and rich scheduling syntax; interchangeable human and AI agents at minimal development cost; a common conceptual and software base for multi-model, comparative studies of the same sys...

Hybrid Probabilistic Search Methods for Simulation Optimization

Discrete-event simulation based optimization is the process of finding the optimum design of a stochastic system when the performance measure(s) could only be estimated via simulation. Randomness in simulation outputs often challenges the correct selection of the optimum. We propose an algorithm that merges Ranking and Selection procedures with a large class of random search methods for continu...

A Generic Framework for Hybrid Simulation in Healthcare

Healthcare problems are complex; they exhibit both detail and dynamic complexity. It has been argued that discrete event simulation (DES), with its ability to capture detail is ideal for problems exhibiting detail complexity. However from the strategic perspective, System Dynamics (SD) with its focus on a holistic perspective and its ability to comprehend dynamic complexity has advantages over ...

A simulation-based hybrid backwards scheduling framework for manufacturing systems

This paper presents a hybrid backward scheduling method, referred to as HBS, which mainly addresses discrete manufacturing environments. It operates under the framework of hierarchical finite capacity shop floor modelling and discrete event simulation. HBS applies a set of transformation relations in order to convert a finite capacity forward scheduling method (FS) that can employ different ass...

Hybrid Simulation / Measurement - Based Framework for Online Dynamic Security Assessment