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Artificial Life and Evolutionary Computation

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Cover of 'Artificial Life and Evolutionary Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Quantum Neural Networks Achieving Quantum Algorithms
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    Chapter 2 Signal Transduction and Communication Through Model Membranes in Networks of Coupled Chemical Oscillators
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    Chapter 3 Controlling Chemical Chaos in the Belousov-Zhabotinsky Oscillator
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    Chapter 4 Fragment Based Molecular Dynamics for Drug Design
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    Chapter 5 Stochastic Numerical Models of Oscillatory Phenomena
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    Chapter 6 Understanding Embodied Cognition by Building Models of Minimal Life
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    Chapter 7 Computing Hierarchical Transition Graphs of Asynchronous Genetic Regulatory Networks
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    Chapter 8 The Impact of Self-loops in Random Boolean Network Dynamics: A Simulation Analysis
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    Chapter 9 A Comparison Between Threshold Ergodic Sets and Stochastic Simulation of Boolean Networks for Modelling Cell Differentiation
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    Chapter 10 A Relevance Index Method to Infer Global Properties of Biological Networks
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    Chapter 11 Dynamical Properties of a Gene-Protein Model
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    Chapter 12 Simulating Populations of Protocells with Uneven Division
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    Chapter 13 An Integrated Model Quantitatively Describing Metabolism, Growth and Cell Cycle in Budding Yeast
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    Chapter 14 Estimating Effects of Extrinsic Noise on Model Genes and Circuits with Empirically Validated Kinetics
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    Chapter 15 Calibrating Dynamic Factor Models with Genetic Algorithms
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    Chapter 16 Functional Interactions in Complex Networks: A Three-Step Methodology for the Implementation of the Relevance Index (RI)
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    Chapter 17 Modeling Urbanization Perception: Emerging Topics on Hangzhou Future Sci-Tech City Development
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    Chapter 18 Complexity Measures in Automatic Design of Robot Swarms: An Exploratory Study
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    Chapter 19 Identification of “Die Hard” Nodes in Complex Networks: A Resilience Approach
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    Chapter 20 Automatic Algebraic Evolutionary Algorithms
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    Chapter 21 Multi-objective Optimization in High-Dimensional Molecular Systems
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    Chapter 22 Multiple Network Motif Clustering with Genetic Algorithms
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    Chapter 23 Searching Relevant Variable Subsets in Complex Systems Using K-Means PSO
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Citations

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4 Dimensions

Readers on

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23 Mendeley
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Title
Artificial Life and Evolutionary Computation
Published by
Springer International Publishing, April 2018
DOI 10.1007/978-3-319-78658-2
ISBNs
978-3-31-978657-5, 978-3-31-978658-2
Editors

Pelillo, Marcello, Poli, Irene, Roli, Andrea, Serra, Roberto, Slanzi, Debora, Villani, Marco

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 4%
South Africa 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 26%
Student > Master 6 26%
Researcher 3 13%
Professor 2 9%
Student > Doctoral Student 2 9%
Other 3 13%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 7 30%
Biochemistry, Genetics and Molecular Biology 2 9%
Physics and Astronomy 2 9%
Engineering 2 9%
Chemistry 2 9%
Other 4 17%
Unknown 4 17%