Multi-level modelling via stochastic multi-level multiset rewriting

Multi-level modelling via stochastic multi-level multiset rewriting

We present a simple stochastic rule-based approach to multilevel modelling for computational systems biology. Populations are modelled using multilevel multisets; these contain both species and agents, with the latter possibly containing further such multisets. Rules are pairs of such multisets, but now allowing variables to occur (as well as species and agents), together with an associated sto...

Multi-choice stochastic bi-level programming problem in cooperative nature via fuzzy programming approach

In this paper, a Multi-Choice Stochastic Bi-Level Programming Problem (MCSBLPP) is considered where all the parameters of constraints are followed by normal distribution. The cost coefficients of the objective functions are multi-choice types. At first, all the probabilistic constraints are transformed into deterministic constraints using stochastic programming approach. Further, a general tran...

MULTI 2015 – Multi - Level Modelling Workshop Proceedings

This paper discusses two ways to establish the connection between two levels in a multi-level model. The first approach uses normal associations and generalizations under the assumption that the multi levels are represented in one UML and OCL model. The second approach views a middle level model both as a type model and as an instance model and introduces operations to navigate between the type...

Multi-level stochastic approximation algorithms

Rational Control of Multi-level Stochastic Design

Search in a complex design space (e.g. in VLSI design) is only feasible when it is factored into smaller ones. A common and useful factoring is the hierarchy of abstraction. Such problems are then attacked by linking together stochastic search programs. At each point in the design process it is necessary to choose whether to continue looking for a better design at the current level, or working ...