We present a generalization of a biochemical model of bacterial degradation of organic compounds in soils, based on genetic networks of cellular automata, and discuss the relevant parallel computation approach. The parallel implementation of the genetic model has been performed on a homogeneous cluster of personal computers in an MPI (Message Passing Interface) environment with high specific performances. By this way, it is possible to perform realistic threedimensional simulations and derive useful information for in situ technological applications
n this paper we propose the use of Networks of Bio-inspired Processors (NBP) to model some biologica...
The bacterial degradation of organic compounds plays a crucial role in the biogeochemical cycles oft...
AbstractThe use of parallelism may overcome some of the constraints imposed by single processor comp...
The remediation of contaminated soils is one of the major environmental problems in industrial count...
Cellular automata can be applied to modelling the dynamics of spatially extended physicalsystems, an...
AbstractCellular automata can be applied to modelling the dynamics of spatially extended physical sy...
The remediation of contaminated soils is one of today's major environmental problems in industrial c...
A new cellular automata model of the complex set of interacting phenomena which take place in biorem...
An application of genetic algorithms to a problem of environmental restoration is presented. The app...
Soil bioremediation is a highly complex phenomenon and involves several disciplines at the same time...
Soil bioremediation is a highly complex phenomenon and involves several disciplines at the same time...
Cellular automata (CA) can be applied for modeling the dynamics of spatially extended physical syste...
Applying cellular automata to complex environmental problems: The simulation of the bioremediation o...
The dynamical model of bacterial degradation of organic compounds which is discussed here provides a...
We report recent results achieved by applying in the field a dynamical model of in situ bioremediati...
n this paper we propose the use of Networks of Bio-inspired Processors (NBP) to model some biologica...
The bacterial degradation of organic compounds plays a crucial role in the biogeochemical cycles oft...
AbstractThe use of parallelism may overcome some of the constraints imposed by single processor comp...
The remediation of contaminated soils is one of the major environmental problems in industrial count...
Cellular automata can be applied to modelling the dynamics of spatially extended physicalsystems, an...
AbstractCellular automata can be applied to modelling the dynamics of spatially extended physical sy...
The remediation of contaminated soils is one of today's major environmental problems in industrial c...
A new cellular automata model of the complex set of interacting phenomena which take place in biorem...
An application of genetic algorithms to a problem of environmental restoration is presented. The app...
Soil bioremediation is a highly complex phenomenon and involves several disciplines at the same time...
Soil bioremediation is a highly complex phenomenon and involves several disciplines at the same time...
Cellular automata (CA) can be applied for modeling the dynamics of spatially extended physical syste...
Applying cellular automata to complex environmental problems: The simulation of the bioremediation o...
The dynamical model of bacterial degradation of organic compounds which is discussed here provides a...
We report recent results achieved by applying in the field a dynamical model of in situ bioremediati...
n this paper we propose the use of Networks of Bio-inspired Processors (NBP) to model some biologica...
The bacterial degradation of organic compounds plays a crucial role in the biogeochemical cycles oft...
AbstractThe use of parallelism may overcome some of the constraints imposed by single processor comp...