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Applications of Evolutionary Computation

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Table of Contents

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    Book Overview
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    Chapter 1 A Comparison of Different Many-Objective Optimization Algorithms for Energy System Optimization
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    Chapter 2 Design of Powered Floor Systems for Mobile Robots with Differential Evolution
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    Chapter 3 Solving the Multi-objective Flexible Job-Shop Scheduling Problem with Alternative Recipes for a Chemical Production Process
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    Chapter 4 Quantifying the Effects of Increasing User Choice in MAP-Elites Applied to a Workforce Scheduling and Routing Problem
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    Chapter 5 A Hybrid Multiobjective Differential Evolution Approach to Stator Winding Optimization
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    Chapter 6 GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm
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    Chapter 7 Ant Colony Optimization for Optimized Operation Scheduling of Combined Heat and Power Plants
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    Chapter 8 A Flexible Dissimilarity Measure for Active and Passive 3D Structures and Its Application in the Fitness–Distance Analysis
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    Chapter 9 Free Form Evolution for Angry Birds Level Generation
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    Chapter 10 Efficient Online Hyperparameter Adaptation for Deep Reinforcement Learning
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    Chapter 11 GAMER: A Genetic Algorithm with Motion Encoding Reuse for Action-Adventure Video Games
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    Chapter 12 Effects of Input Addition in Learning for Adaptive Games: Towards Learning with Structural Changes
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    Chapter 13 Supporting Medical Decisions for Treating Rare Diseases Through Genetic Programming
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    Chapter 14 Evolutionary Successful Strategies in a Transparent iterated Prisoner’s Dilemma
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    Chapter 15 Evolutionary Algorithms for the Design of Quantum Protocols
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    Chapter 16 Evolutionary Computation Techniques for Constructing SAT-Based Attacks in Algebraic Cryptanalysis
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    Chapter 17 On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets
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    Chapter 18 A Cultural Algorithm for Determining Similarity Values Between Users in Recommender Systems
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    Chapter 19 Optimizing the C Index Using a Canonical Genetic Algorithm
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    Chapter 20 Memetic Evolution of Classification Ensembles
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    Chapter 21 Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection
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    Chapter 22 Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data
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    Chapter 23 A Knowledge Based Differential Evolution Algorithm for Protein Structure Prediction
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    Chapter 24 A Biased Random Key Genetic Algorithm with Local Search Chains for Molecular Docking
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    Chapter 25 Self-sustainability Challenges of Plants Colonization Strategies in Virtual 3D Environments
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    Chapter 26 Early Detection of Botnet Activities Using Grammatical Evolution
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    Chapter 27 Exploring Concurrent and Stateless Evolutionary Algorithms
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    Chapter 28 Evolving Trust Formula to Evaluate Data Trustworthiness in VANETs Using Genetic Programming
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    Chapter 29 A Matheuristic for Green and Robust 5G Virtual Network Function Placement
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    Chapter 30 Prolong the Network Lifetime of Wireless Underground Sensor Networks by Optimal Relay Node Placement
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    Chapter 31 The Evolution of Self-taught Neural Networks in a Multi-agent Environment
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    Chapter 32 Coevolution of Generative Adversarial Networks
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    Chapter 33 Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters
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    Chapter 34 Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels
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    Chapter 35 Compact Optimization Algorithms with Re-Sampled Inheritance
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    Chapter 36 Particle Swarm Optimization: Understanding Order-2 Stability Guarantees
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    Chapter 37 Fundamental Flowers: Evolutionary Discovery of Coresets for Classification
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    Chapter 38 Influence of Local Selection and Robot Swarm Density on the Distributed Evolution of GRNs
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    Chapter 39 Body Symmetry in Morphologically Evolving Modular Robots
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    Chapter 40 Trophallaxis, Low-Power Vision Sensors and Multi-objective Heuristics for 3D Scene Reconstruction Using Swarm Robotics
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    Chapter 41 Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds
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    Chapter 42 Introducing Weighted Intermediate Recombination in On-Line Collective Robotics, the ( $$\mu /\mu _{\mathrm {W}},1$$ )- On-line EEA
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Title
Applications of Evolutionary Computation
Published by
Springer International Publishing, June 2019
DOI 10.1007/978-3-030-16692-2
ISBNs
978-3-03-016691-5, 978-3-03-016692-2
Editors

Kaufmann, Paul, Castillo, Pedro A.

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The data shown below were collected from the profiles of 10 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 > Master 5 36%
Student > Ph. D. Student 4 29%
Student > Bachelor 2 14%
Student > Doctoral Student 1 7%
Unknown 2 14%
Readers by discipline Count As %
Computer Science 6 43%
Engineering 3 21%
Mathematics 2 14%
Unknown 3 21%