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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 Optimizing Energy Consumption in Heterogeneous Wireless Sensor Networks by Means of Evolutionary Algorithms
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    Chapter 2 Network Protocol Discovery and Analysis via Live Interaction
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    Chapter 3 Evolutionary Design of Active Free Space Optical Networks Based on Digital Mirror Devices
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    Chapter 4 Frequency Robustness Optimization with Respect to Traffic Distribution for LTE System
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    Chapter 5 Small-World Optimization Applied to Job Scheduling on Grid Environments from a Multi-Objective Perspective
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    Chapter 6 Testing Diversity-Enhancing Migration Policies for Hybrid On-Line Evolution of Robot Controllers
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    Chapter 7 Evolutionary Optimization of Pheromone-Based Stigmergic Communication
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    Chapter 8 Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection
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    Chapter 9 Analyzing Dynamic Fitness Landscapes of the Targeting Problem of Chaotic Systems
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    Chapter 10 Self-organization and Specialization in Multiagent Systems through Open-Ended Natural Evolution
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    Chapter 11 An Empirical Tool for Analysing the Collective Behaviour of Population-Based Algorithms
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    Chapter 12 Sales Potential Optimization on Directed Social Networks: A Quasi-Parallel Genetic Algorithm Approach
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    Chapter 13 The Emergence of Multi-cellular Robot Organisms through On-Line On-Board Evolution
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    Chapter 14 Applications of Evolutionary Computation
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    Chapter 15 Steepest Ascent Hill Climbing for Portfolio Selection
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    Chapter 16 A Neuro-evolutionary Approach to Intraday Financial Modeling
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    Chapter 17 A Comparative Study of Multi-objective Evolutionary Algorithms to Optimize the Selection of Investment Portfolios with Cardinality Constraints
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    Chapter 18 A GA Combining Technical and Fundamental Analysis for Trading the Stock Market
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    Chapter 19 Evolutionary Data Selection for Enhancing Models of Intraday Forex Time Series
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    Chapter 20 Initial Results from Co-operative Co-evolution for Automated Platformer Design
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    Chapter 21 Evolving Third-Person Shooter Enemies to Optimize Player Satisfaction in Real-Time
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    Chapter 22 Why Simulate? Hybrid Biological-Digital Games
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    Chapter 23 Spicing Up Map Generation
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    Chapter 24 Dealing with Noisy Fitness in the Design of a RTS Game Bot
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    Chapter 25 On Modeling, Evaluating and Increasing Players’ Satisfaction Quantitatively: Steps towards a Taxonomy
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    Chapter 26 Monte-Carlo Tree Search for the Physical Travelling Salesman Problem
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    Chapter 27 Diversified Virtual Camera Composition
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    Chapter 28 Digging Deeper into Platform Game Level Design: Session Size and Sequential Features
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    Chapter 29 Robot Base Disturbance Optimization with Compact Differential Evolution Light
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    Chapter 30 Electrocardiographic Signal Classification with Evolutionary Artificial Neural Networks
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    Chapter 31 A Genetic Fuzzy Rules Learning Approach for Unseeded Segmentation in Echography
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    Chapter 32 Object Recognition with an Optimized Ventral Stream Model Using Genetic Programming
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    Chapter 33 Evolving Visual Attention Programs through EVO Features
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    Chapter 34 Evolutionary Purposive or Behavioral Vision for Camera Trajectory Estimation
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    Chapter 35 On Evolutionary Approaches to Unsupervised Nearest Neighbor Regression
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    Chapter 36 Evolutionary Regression Machines for Precision Agriculture
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    Chapter 37 A Generic Approach to Parameter Control
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    Chapter 38 Applying (Hybrid) Metaheuristics to Fuel Consumption Optimization of Hybrid Electric Vehicles
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    Chapter 39 Improved Topological Niching for Real-Valued Global Optimization
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    Chapter 40 Towards a Deeper Understanding of Trade-offs Using Multi-objective Evolutionary Algorithms
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    Chapter 41 OpenCL Implementation of Particle Swarm Optimization: A Comparison between Multi-core CPU and GPU Performances
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    Chapter 42 A Library to Run Evolutionary Algorithms in the Cloud Using MapReduce
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    Chapter 43 A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark
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    Chapter 44 Validating a Peer-to-Peer Evolutionary Algorithm
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    Chapter 45 Pool-Based Distributed Evolutionary Algorithms Using an Object Database
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    Chapter 46 Migration and Replacement Policies for Preserving Diversity in Dynamic Environments
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    Chapter 47 Distributed Simulated Annealing with MapReduce
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    Chapter 48 Flex-GP: Genetic Programming on the Cloud
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    Chapter 49 Customized Normalcy Profiles for the Detection of Targeted Attacks
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    Chapter 50 A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem
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    Chapter 51 Optimizing the Unlimited Shift Generation Problem
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    Chapter 52 Applications of Evolutionary Computation
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    Chapter 53 Evolving Communication in Robotic Swarms Using On-Line, On-Board, Distributed Evolutionary Algorithms
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    Chapter 54 Virtual Loser Genetic Algorithm for Dynamic Environments
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Title
Applications of Evolutionary Computation
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-29178-4
ISBNs
978-3-64-229177-7, 978-3-64-229178-4
Authors

Chio, Cecilia, Agapitos, Alexandros, Cagnoni, Stefano, Cotta, Carlos, Vega, Francisco Fernández, Caro, Gianni A, Drechsler, Rolf, Ekárt, Anikó, Esparcia-Alcázar, Anna I, Farooq, Muddassar, Langdon, William B, Merelo-Guervós, Juan J, Preuss, Mike, Richter, Hendrik, Silva, Sara, Simões, Anabela, Squillero, Giovanni, Tarantino, Ernesto, Tettamanzi, Andrea G. B, Togelius, Julian, Urquhart, Neil, Uyar, A. Şima, Yannakakis, Georgios N

Editors

Cecilia Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, Francisco Fernández de Vega, Gianni A. Di Caro, Rolf Drechsler, Anikó Ekárt, Anna I. Esparcia-Alcázar, Muddassar Farooq, William B. Langdon, Juan J. Merelo-Guervós, Mike Preuss, Hendrik Richter, Sara Silva, Anabela Simões, Giovanni Squillero, Ernesto Tarantino, Andrea G. B. Tettamanzi, Julian Togelius, Neil Urquhart, A. Şima Uyar, Georgios N. Yannakakis

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X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 17%
Student > Master 1 17%
Researcher 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 2 33%
Medicine and Dentistry 1 17%
Unknown 3 50%

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