Importance sampling is the rare event provoking technique that is most frequently used for speed-up simulation of dependability and traffic models. Due to its sensitivity to the parameter settings, it is not yet ready for practical use. There exists a number of approaches for finding optimal, or at least good, parameters. The applicability of these and necessary extensions are discussed with re...

AbstructComplex models may have model components distributed over a network and generally require significant execution times. The field of parallel and distributed simulation has grown over the past fifteen years to accommodate the need of simulation the complex models using a distributed versus sequential method. In particular, asynchronous parallel discrete event simulation (PDES) has been w...

Test beds for multi-agent systems provide the means for experimenting with multiple agents that act and interact concurrently in their environment. Mostly, test beds constitute specialized tools which provide speci c scenarios for testing speci c agentarchitectures. To facilitate reuse and a exible compositional construction of experimental frames for multiagent systems, JAMES, a Java Based Age...

The ability of the adaptive immune system to discriminate safely between foreign and self molecules is a fundamental ingredient to everyday survival of higher vertebrates (such as ourselves). Unlike innate immune responses, which happen in all kinds of organisms, responses of the adaptive immune system are highly speci c to the target which induced their activation. Until now it is not quite cl...

This paper advocates the use of a formal framework for analyzing simulation performance. Simulation performance is characterized based on the three simulation development process boundaries: physical system, simulation model, and simulator implementation. Firstly, we formalize simulation event ordering using partially ordered set theory. A simulator implements a simulation event ordering, and i...

It is still an open question in parallel discrete event simulation what conditions influence the performance of parallel simulation paradigms. We have developed a simulation environment based on asynchronous cellular automata that facilitates basic research into the concepts of discrete event simulation and parallel discrete event simulation, such as the Time Warp paradigm. We address the trans...

It is still an open question in parallel discrete event simulation what conditions influence the performance of parallel simulation paradigms. We have developed a simulation environment based on asynchronous cellular automata that facilitates basic research into the concepts of discrete event simulation and parallel discrete event simulation, such as the Time Warp paradigm. We address the trans...

In every production plant, it is necessary to have an estimation of production level. Sometimes there are many parameters affective in this estimation. In this paper, it tried to find an appropriate estimation of production level for an industrial factory called Barez in an uncertain environment. We have considered a part of production line, which has different production time for different kin...

this paper analyses efficiency of short horizon event study methodology in general and efficiency of various test statistics based on price and trading volume in the period (iranian calendar) 1380:1389-q1 (2240 days) applying simulation method. we evaluate efficiency of 8 test statistics including parametric, non-parametric and induced variance statistics. we find various test statistics have e...