Performance optimization for a class of generalized stochastic Petri nets

Li, Ran; Reveliotis, Spyros

doi:10.1007/s10626-014-0189-3

Cited by 21 publications

(12 citation statements)

References 30 publications

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“…Soft-computing is proposed by Zadeh, founder of Fuzzy Set Theory in 1994, whose guiding principle is to develop tolerance techniques for uncertainty, imprecision and incomplete authenticity to obtain easy processing, high robustness, Low cost and good integration of the actual method (Li, 2015). Soft computing is for hard computing, the traditional computing (hard computing) is the main features of strict, accurate and accurate.…”

Section: Theory and Methods Of Hybrid Soft Computingmentioning

confidence: 99%

Ecological Model of Groundwater Environment Based on Hybrid Soft Computing Method

2017

Revista Tecnica De La Facultad De Ingenieria Universidad Del Zu

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For mining groundwater ecosystems highly complex and non-linear, an ecological model of groundwater environment based on hybrid soft computing method (GE_HSC) was established from the point of view of algorithm optimization, and it's includes the difference evolution algorithm and the neural network module. The experimental results show that there is no significant positive correlation between the correlation of the samples and the prediction accuracy, while the network structure and the representation of the samples have an important influence, and the water resources, environment and economy in Yulin are in uncoordinated stage at present, the economic development is faster, but the water resources are relatively poor, and economics development of the environment caused great destruction ,mining area water pollution is more serious.

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Section: Theory and Methods Of Hybrid Soft Computingmentioning

confidence: 99%

Ecological Model of Groundwater Environment Based on Hybrid Soft Computing Method

2017

Revista Tecnica De La Facultad De Ingenieria Universidad Del Zu

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“…This integrative modeling capability that is supported by DES theory also enables a profound analysis of the impact of the imposed behavioralcontrol policies upon the system performance and, thus, the pursuance of a more integrative approach to the synthesis of the behavioral and the performance-oriented control policies that are necessary for any particular DES instantiation. This is a rather novel topic in the relevant DES literature, and some recent works in this direction can be found in Cao (2005), Li and Reveliotis (2013), Markovski andSu (2013), andDavid-Henriet et al (2013)…”

Section: Des Performance Control and The Interplay Among Structure Bmentioning

confidence: 98%

Applications of Discrete Event Systems

Reveliotis¹

2013

Encyclopedia of Systems and Control

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This entry provides an overview of the problems addressed by DES theory, with an emphasis on their connection to various application contexts. The primary intentions are to reveal the caliber and the strengths of this theory and to direct the interested reader, through the listed citations, to the corresponding literature. The concluding part of the entry also identifies some remaining challenges and further opportunities for the area.

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“…Things are complicated, however, by the explosive size of the underlying state space. In fact, this state space explosion implies that the sought scheduling policies are not only hard to compute, but they also have a very high Figure 2: A schematic outline of the RAS scheduling methodology that is presented in this article, based on the developments of [49,48].…”

Section: Formulating the Ras Scheduling Problem Through Mdp Theorymentioning

confidence: 99%

Real-time management of complex resource allocation systems: Necessity, achievements and further challenges

Reveliotis

2016

Annual Reviews in Control

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Many contemporary applications, ranging from flexibly automated production systems, to automated material handling and intelligent transportation systems, to internet-based workflow management systems, and more recently, to the massively parallelized software systems that emerge in the context of the novel multi-core computing architectures, can be perceived as a set of finite resources that support a number of concurrently running processes. These processes execute in a staged manner and, at each stage, they vie for the allocation of various subsets of the system resources. To effectively support and manage the extensive levels of concurrency and operational flexibility that are contemplated for these environments, and the ensuing complexity, there is a substantial need for formal models and tools that will enable the modeling, analysis and eventually the control of the aforementioned resource allocation function so that the resulting dynamics are, both, behaviorally correct and operationally efficient. This article overviews a research program that seeks to address the aforementioned need by using the unifying abstraction of the resource allocation system (RAS) and supporting modeling frameworks, like automata, Petri nets, and Markov reward and decision processes, borrowed from the area of Discrete Event Systems (DES) theory. The presented results take advantage of the special structure that exists in the considered RAS classes, and they are characterized by their analytical rigor and computational tractability. The article also highlights the further challenges that must be addressed for the successful completion and promotion of the pursued framework.

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Performance optimization for a class of generalized stochastic Petri nets

Cited by 21 publications

References 30 publications

Ecological Model of Groundwater Environment Based on Hybrid Soft Computing Method

Ecological Model of Groundwater Environment Based on Hybrid Soft Computing Method

Applications of Discrete Event Systems

Real-time management of complex resource allocation systems: Necessity, achievements and further challenges

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