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Applications of Evolutionary Computation

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Cover of 'Applications of Evolutionary Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Coevolutionary Dynamics of Interacting Species
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    Chapter 2 Evolving Individual Behavior in a Multi-agent Traffic Simulator
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    Chapter 3 On Modeling and Evolutionary Optimization of Nonlinearly Coupled Pedestrian Interactions
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    Chapter 4 Revising the Trade-off between the Number of Agents and Agent Intelligence
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    Chapter 5 Sexual Recombination in Self-Organizing Interaction Networks
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    Chapter 6 Symbiogenesis as a Mechanism for Building Complex Adaptive Systems: A Review
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    Chapter 7 Co-evolution of Optimal Agents for the Alternating Offers Bargaining Game
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    Chapter 8 Fuzzy Nash-Pareto Equilibrium: Concepts and Evolutionary Detection
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    Chapter 9 An Evolutionary Approach for Solving the Rubik’s Cube Incorporating Exact Methods
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    Chapter 10 Evolution of Artificial Terrains for Video Games Based on Accessibility
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    Chapter 11 Evolving Behaviour Trees for the Commercial Game DEFCON
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    Chapter 12 Evolving 3D Buildings for the Prototype Video Game Subversion
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    Chapter 13 Finding Better Solutions to the Mastermind Puzzle Using Evolutionary Algorithms
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    Chapter 14 Towards a Generic Framework for Automated Video Game Level Creation
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    Chapter 15 Search-Based Procedural Content Generation
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    Chapter 16 Evolution of Grim Trigger in Prisoner Dilemma Game with Partial Imitation
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    Chapter 17 Evolving a Ms. PacMan Controller Using Grammatical Evolution
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    Chapter 18 Evolving Bot AI in Unreal TM
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    Chapter 19 Evolutionary Algorithm for Generation of Entertaining Shinro Logic Puzzles
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    Chapter 20 Social Learning Algorithms Reaching Nash Equilibrium in Symmetric Cournot Games
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    Chapter 21 Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search
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    Chapter 22 A CNN Based Algorithm for the Automated Segmentation of Multiple Sclerosis Lesions
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    Chapter 23 A Hybrid Evolutionary Algorithm for Bayesian Networks Learning: An Application to Classifier Combination
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    Chapter 24 Towards Automated Learning of Object Detectors
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    Chapter 25 Markerless Multi-view Articulated Pose Estimation Using Adaptive Hierarchical Particle Swarm Optimisation
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    Chapter 26 Hand Posture Recognition Using Real-Time Artificial Evolution
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    Chapter 27 Comparing Cellular and Panmictic Genetic Algorithms for Real-Time Object Detection
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    Chapter 28 Bloat Free Genetic Programming versus Classification Trees for Identification of Burned Areas in Satellite Imagery
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    Chapter 29 Genetic Algorithms for Training Data and Polynomial Optimization in Colorimetric Characterization of Scanners
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    Chapter 30 New Genetic Operators in the Fly Algorithm: Application to Medical PET Image Reconstruction
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    Chapter 31 Chaotic Hybrid Algorithm and Its Application in Circle Detection
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    Chapter 32 Content-Based Image Retrieval of Skin Lesions by Evolutionary Feature Synthesis
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    Chapter 33 An Evolutionary Method for Model-Based Automatic Segmentation of Lower Abdomen CT Images for Radiotherapy Planning
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    Chapter 34 Evolution of Communicating Individuals
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    Chapter 35 Dynamic Data Clustering Using Stochastic Approximation Driven Multi-Dimensional Particle Swarm Optimization
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    Chapter 36 Automatic Synthesis of Associative Memories through Genetic Programming: A First Co-evolutionary Approach
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    Chapter 37 A Comparative Study between Genetic Algorithm and Genetic Programming Based Gait Generation Methods for Quadruped Robots
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    Chapter 38 Markerless Localization for Blind Users Using Computer Vision and Particle Swarm Optimization
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    Chapter 39 Particle Swarm Optimization for Feature Selection in Speaker Verification
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    Chapter 40 Scale- and Rotation-Robust Genetic Programming-Based Corner Detectors
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    Chapter 41 Self-organized and Evolvable Cognitive Architecture for Intelligent Agents and Multi-Agent Systems
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    Chapter 42 Investigating the Local-Meta-Model CMA-ES for Large Population Sizes
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    Chapter 43 Exploiting Evolution for an Adaptive Drift-Robust Classifier in Chemical Sensing
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    Chapter 44 Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions
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    Chapter 45 Gaussian Adaptation Revisited – An Entropic View on Covariance Matrix Adaptation
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    Chapter 46 Parallel Genetic Algorithm on the CUDA Architecture
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    Chapter 47 A New Selection Ratio for Large Population Sizes
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    Chapter 48 Multi-Objective Probability Collectives
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    Chapter 49 Parallel Random Injection Differential Evolution
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    Chapter 50 Effect of Spatial Locality on an Evolutionary Algorithm for Multimodal Optimization
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    Chapter 51 Applications of Evolutionary Computation
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    Chapter 52 Speedups between ×70 and ×120 for a Generic Local Search (Memetic) Algorithm on a Single GPGPU Chip
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    Chapter 53 Advancing Model–Building for Many–Objective Optimization Estimation of Distribution Algorithms
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    Chapter 54 Estimation Distribution Differential Evolution
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    Chapter 55 Design of Continuous Controllers Using a Multiobjective Differential Evolution Algorithm with Spherical Pruning
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    Chapter 56 Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist
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    Chapter 57 Memory Design for Constrained Dynamic Optimization Problems
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    Chapter 58 Applications of Evolutionary Computation
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    Chapter 59 Measuring Fitness Degradation in Dynamic Optimization Problems
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    Chapter 60 Handling Undefined Vectors in Expensive Optimization Problems
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    Chapter 61 Adaptive Noisy Optimization
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    Chapter 62 Noise Analysis Compact Genetic Algorithm
Overall attention for this book and its chapters
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Title
Applications of Evolutionary Computation
Published by
Springer Berlin Heidelberg, April 2010
DOI 10.1007/978-3-642-12239-2
ISBNs
978-3-64-212238-5, 978-3-64-212239-2
Editors

Chio, Cecilia, Cagnoni, Stefano, Cotta, Carlos, Ebner, Marc, Ekárt, Anikó, Esparcia-Alcazar, Anna I., Goh, Chi-Keong, Merelo, Juan J., Neri, Ferrante, Preuß, Mike, Togelius, Julian, Yannakakis, Georgios N., Chio, Cecilia, Cagnoni, Stefano, Cotta, Carlos, Ebner, Marc, Ekárt, Anikó, Esparcia-Alcazar, Anna I., Goh, Chi-Keong, Merelo, Juan J., Neri, Ferrante, Preuß, Mike, Togelius, Julian, Yannakakis, Georgios N.

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The data shown below were collected from the profiles of 9 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 5%
Colombia 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 48%
Student > Master 3 14%
Professor 2 10%
Professor > Associate Professor 2 10%
Student > Doctoral Student 2 10%
Other 2 10%
Readers by discipline Count As %
Engineering 12 57%
Computer Science 3 14%
Business, Management and Accounting 2 10%
Arts and Humanities 1 5%
Unspecified 1 5%
Other 2 10%