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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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