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Advances in Artificial Life and Evolutionary Computation

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Cover of 'Advances in Artificial Life and Evolutionary Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Building Energy Management Through Fault Detection Analysis Using Pattern Recognition Techniques Applied on Residual Neural Networks
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    Chapter 2 Qualitative Particle Swarm Optimization (Q-PSO) for Energy-Efficient Building Designs
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    Chapter 3 Introducing Interactive Evolutionary Computation in Data Clustering
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    Chapter 4 Living Emerging Worlds for Games
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    Chapter 5 Studying the Evolutionary Basis of Emotions Through Adaptive Neuroagents: Preliminary Settings and Results
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    Chapter 6 Approaches to Molecular Communication Between Synthetic Compartments Based on Encapsulated Chemical Oscillators
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    Chapter 7 Multi-objective Parameter Tuning for PSO-based Point Cloud Localization
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    Chapter 8 A Multithreaded Implementation of the Fish School Search Algorithm
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    Chapter 9 Evolutionary Applications to Cellular Automata Models for Volcano Risk Mitigation
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    Chapter 10 On RAF Sets and Autocatalytic Cycles in Random Reaction Networks
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    Chapter 11 Learning Multiple Conflicting Tasks with Artificial Evolution
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    Chapter 12 On Some Properties of Information Theoretical Measures for the Study of Complex Systems
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    Chapter 13 Investigating the Role of Network Topology and Dynamical Regimes on the Dynamics of a Cell Differentiation Model
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    Chapter 14 Molecular Communication Technology: General Considerations on the Use of Synthetic Cells and Some Hints from In Silico Modelling
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    Chapter 15 Examples of the Usage of Infinities and Infinitesimals in Numerical Computations
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    Chapter 16 The Complex Systems Approach to Protocells
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Title
Advances in Artificial Life and Evolutionary Computation
Published by
Springer International Publishing, November 2014
DOI 10.1007/978-3-319-12745-3
ISBNs
978-3-31-912744-6, 978-3-31-912745-3
Editors

Pizzuti, Clara, Spezzano, Giandomenico

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X Demographics

The data shown below were collected from the profiles of 2 X users 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 43%
Student > Master 3 21%
Student > Bachelor 1 7%
Student > Doctoral Student 1 7%
Researcher 1 7%
Other 0 0%
Unknown 2 14%
Readers by discipline Count As %
Engineering 7 50%
Chemistry 2 14%
Computer Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Earth and Planetary Sciences 1 7%
Other 0 0%
Unknown 2 14%