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Advances in Artificial Life, Evolutionary Computation and Systems Chemistry

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Cover of 'Advances in Artificial Life, Evolutionary Computation and Systems Chemistry'

Table of Contents

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    Book Overview
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    Chapter 1 A Fair Comparison Between Standard PSO Versions
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    Chapter 2 On the Robustness of the Detection of Relevant Sets in Complex Dynamical Systems
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    Chapter 3 Dynamically Critical Systems and Power-Law Distributions: Avalanches Revisited
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    Chapter 4 Introducing Kimeme, a Novel Platform for Multi-disciplinary Multi-objective Optimization
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    Chapter 5 Optimizing Feed-Forward Neural Network Topology by Multi-objective Evolutionary Algorithms: A Comparative Study on Biomedical Datasets
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    Chapter 6 Novel Algorithm for Efficient Distribution of Molecular Docking Calculations
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    Chapter 7 Simulating Bacteria-Materials Interactions via Agent-Based Modeling
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    Chapter 8 Models for the Prediction of Antimicrobial Peptides Activity
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    Chapter 9 On the Dynamics of Autocatalytic Cycles in Protocell Models
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    Chapter 10 A Combined Preprocessing Method for Retinal Vessel Detection Towards Proliferative Diabetic Retinopathy Screening
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    Chapter 11 A New Flexible Protocol for Docking Studies
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    Chapter 12 Design and Development of a Forearm Rehabilitation System Based on an Augmented Reality Serious Game
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    Chapter 13 Ab-initio Investigation of Unexpected Aspects of Hydroxylation of Diketopiperazines by Reaction with Dioxiranes
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    Chapter 14 On Fine Stochastic Simulations of Liposome-Encapsulated PUREsystem™
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    Chapter 15 Self-Organization of a Dichloromethane Droplet on the Surface of a Surfactant Containing Aqueous Solution
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    Chapter 16 From Microscopic Compartmentalization to Hydrodynamic Patterns: New Pathways for Information Transport
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    Chapter 17 Giant Vesicles as Compartmentalized Bio-reactors: A 3D Modelling Approach
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    Chapter 18 Engineering Enzyme-Driven Dynamic Behaviour in Lipid Vesicles
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Title
Advances in Artificial Life, Evolutionary Computation and Systems Chemistry
Published by
Springer International Publishing, April 2016
DOI 10.1007/978-3-319-32695-5
ISBNs
978-3-31-932694-8, 978-3-31-932695-5
Editors

Rossi, Federico, Mavelli, Fabio, Stano, Pasquale, Caivano, Danilo

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Student > Master 6 24%
Researcher 4 16%
Student > Bachelor 2 8%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 3 12%
Readers by discipline Count As %
Computer Science 5 20%
Engineering 4 16%
Environmental Science 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Physics and Astronomy 2 8%
Other 5 20%
Unknown 5 20%