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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 Minimization of Systemic Risk for Directed Network Using Genetic Algorithm
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    Chapter 2 Pricing Rainfall Based Futures Using Genetic Programming
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    Chapter 3 Dynamic Portfolio Optimization in Ultra-High Frequency Environment
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    Chapter 4 Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism
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    Chapter 5 De Novo DNA Assembly with a Genetic Algorithm Finds Accurate Genomes Even with Suboptimal Fitness
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    Chapter 6 EVE: Cloud-Based Annotation of Human Genetic Variants
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    Chapter 7 Improving the Reproducibility of Genetic Association Results Using Genotype Resampling Methods
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    Chapter 8 Objective Assessment of Cognitive Impairment in Parkinson’s Disease Using Evolutionary Algorithm
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    Chapter 9 Characterising the Influence of Rule-Based Knowledge Representations in Biological Knowledge Extraction from Transcriptomics Data
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    Chapter 10 Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting
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    Chapter 11 Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification
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    Chapter 12 Meta-Heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing
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    Chapter 13 Analysis of Average Communicability in Complex Networks
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    Chapter 14 Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customised Genetic Algorithm
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    Chapter 15 Multi-objective Evolutionary Algorithms for Influence Maximization in Social Networks
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    Chapter 16 A Fast ILP-Based Heuristic for the Robust Design of Body Wireless Sensor Networks
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    Chapter 17 Lamarckian and Lifelong Memetic Search in Agent-Based Computing
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    Chapter 18 Two-Phase Strategy Managing Insensitivity in Global Optimization
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    Chapter 19 Avenues for the Use of Cellular Automata in Image Segmentation
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    Chapter 20 Local Misfit Approximation in Memetic Solving of Ill-Posed Inverse Problems
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    Chapter 21 The Two Regimes of Neutral Evolution: Localization on Hubs and Delocalized Diffusion
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    Chapter 22 Adaptive Batteries Exploiting On-Line Steady-State Evolution Strategy
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    Chapter 23 Hybrid Multi-ensemble Scheduling
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    Chapter 24 Driving in TORCS Using Modular Fuzzy Controllers
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    Chapter 25 Automated Game Balancing in Ms PacMan and StarCraft Using Evolutionary Algorithms
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    Chapter 26 Evolving Game-Specific UCB Alternatives for General Video Game Playing
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    Chapter 27 Relief Camp Manager: A Serious Game Using the World Health Organization’s Relief Camp Guidelines
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    Chapter 28 Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing
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    Chapter 29 Darwin’s Demons: Does Evolution Improve the Game?
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    Chapter 30 Evolutionary Art Using the Fly Algorithm
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    Chapter 31 Bagging and Feature Selection for Classification with Incomplete Data
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    Chapter 32 Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification
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    Chapter 33 Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm
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    Chapter 34 Brain Programming and the Random Search in Object Categorization
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    Chapter 35 Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering
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    Chapter 36 Container Vessel Stowage Planning System Using Genetic Algorithm
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    Chapter 37 The Artificial Immune Ecosystem: A Bio-Inspired Meta-Algorithm for Boosting Time Series Anomaly Detection with Expert Input
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    Chapter 38 Empirical Analysis of Optimization Methods for the Real-World Dial-a-Ride Problem
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    Chapter 39 Presenting the ECO: Evolutionary Computation Ontology
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    Chapter 40 A New Evolutionary Algorithm for Synchronization
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    Chapter 41 Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables
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    Chapter 42 A Framework for Knowledge Integrated Evolutionary Algorithms
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    Chapter 43 DICE: A New Family of Bivariate Estimation of Distribution Algorithms Based on Dichotomised Multivariate Gaussian Distributions
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    Chapter 44 Ranking Programming Languages for Evolutionary Algorithm Operations
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    Chapter 45 Distance-Based Tournament Selection
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    Chapter 46 Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization
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    Chapter 47 Numerical Optimization of ESA’s Messenger Space Mission Benchmark
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    Chapter 48 A VNS with Parallel Evaluation of Solutions for the Inverse Lighting Problem
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    Chapter 49 Evolving Cut-Off Mechanisms and Other Work-Stealing Parameters for Parallel Programs
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    Chapter 50 Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection
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    Chapter 51 Embedded Grammars for Grammatical Evolution on GPGPU
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    Chapter 52 A Performance Assessment of Evolutionary Algorithms in Volunteer Computing Environments: The Importance of Entropy
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    Chapter 53 Overcoming Initial Convergence in Multi-objective Evolution of Robot Control and Morphology Using a Two-Phase Approach
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    Chapter 54 Evolutionary Adaptation to Social Information Use Without Learning
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    Chapter 55 Interactive Evolution of Complex Behaviours Through Skill Encapsulation
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    Chapter 56 Evolution and Morphogenesis of Simulated Modular Robots: A Comparison Between a Direct and Generative Encoding
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    Chapter 57 Continual and One-Shot Learning Through Neural Networks with Dynamic External Memory
Attention for Chapter 7: Improving the Reproducibility of Genetic Association Results Using Genotype Resampling Methods
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Chapter title
Improving the Reproducibility of Genetic Association Results Using Genotype Resampling Methods
Chapter number 7
Book title
Applications of Evolutionary Computation
Published in
Lecture notes in computer science, March 2017
DOI 10.1007/978-3-319-55849-3_7
Book ISBNs
978-3-31-955848-6, 978-3-31-955849-3
Authors

Elizabeth R. Piette, Jason H. Moore

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 May 2017.
All research outputs
#6,473,847
of 22,965,074 outputs
Outputs from Lecture notes in computer science
#2,111
of 8,137 outputs
Outputs of similar age
#105,021
of 309,171 outputs
Outputs of similar age from Lecture notes in computer science
#15
of 100 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 309,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.