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Natural Computing

Preface

  • 26-10-2019
Published in:
Authors
Giancarlo Mauri
Samira El Yacoubi
Stefania Bandini
Published in
Natural Computing | Issue 4/2019

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Excerpt

Cellular automata, introduced by John von Neumann as a model of self-reproducing systems, represent a very powerful approach to the study of spatio-temporal systems where complex phenomena emerge from many simple local interactions. They are discrete, abstract computational systems that have been proved to be useful as general models of complexity as well as simplified representations of non-linear dynamics in a wide range of scientific areas. Through several decades already, cellular automata have generated a great deal of interest both in academia and industry attracting an increasing community of researchers working in different fields and dealing with theoretical aspects as well as with practical applications. …

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previous article On an integrated approach to resilient transportation systems in emergency situations
next article State-efficient realization of fault-tolerant FSSP algorithms
Title
Preface
Authors
Giancarlo Mauri
Samira El Yacoubi
Stefania Bandini
Publication date
26-10-2019
Publisher
Springer Netherlands
Published in
Natural Computing / Issue 4/2019
Print ISSN: 1567-7818
Electronic ISSN: 1572-9796
DOI
https://doi.org/10.1007/s11047-019-09770-6

Other articles of this Issue 4/2019

Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method

New measures for comparing optimization algorithms on dynamic optimization problems

A cellular automata based approach to track salient objects in videos

Lattice-based versus lattice-free individual-based models: impact on coexistence in competitive communities

Optimal and suboptimal regional control of probabilistic cellular automata

A proactive scheduling approach to steel rolling process with stochastic machine breakdown

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