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Applications of Evolutionary Computing

Overview of attention for book
Cover of 'Applications of Evolutionary Computing'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Functional Classification of G-Protein Coupled Receptors, Based on Their Specific Ligand Coupling Patterns
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    Chapter 2 Incorporating Biological Domain Knowledge into Cluster Validity Assessment
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    Chapter 3 A Novel Mathematical Model for the Optimization of DNA–Chip Design and Its Implementation
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    Chapter 4 A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data
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    Chapter 5 Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks
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    Chapter 6 Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines
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    Chapter 7 Hierarchical Clustering, Languages and Cancer
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    Chapter 8 Robust SVM-Based Biomarker Selection with Noisy Mass Spectrometric Proteomic Data
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    Chapter 9 On the Use of Variable Complementarity for Feature Selection in Cancer Classification
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    Chapter 10 Comparison of Neural Network Optimization Approaches for Studies of Human Genetics
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    Chapter 11 Obtaining Biclusters in Microarrays with Population-Based Heuristics
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    Chapter 12 Multiple Sequence Alignment Based on Set Covers
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    Chapter 13 A Methodology for Determining Amino-Acid Substitution Matrices from Set Covers
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    Chapter 14 Multi-Objective Evolutionary Algorithm for Discovering Peptide Binding Motifs
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    Chapter 15 Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology
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    Chapter 16 Optimal Selection of Microarray Analysis Methods Using a Conceptual Clustering Algorithm
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    Chapter 17 Microarray Probe Design Using ε-Multi-Objective Evolutionary Algorithms with Thermodynamic Criteria
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    Chapter 18 An Algorithm for the Automated Verification of DNA Supercontig Assemblies
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    Chapter 19 From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems
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    Chapter 20 Conditional Random Fields for Predicting and Analyzing Histone Occupancy, Acetylation and Methylation Areas in DNA Sequences
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    Chapter 21 DNA Fragment Assembly: An Ant Colony System Approach
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    Chapter 22 BeeHiveGuard: A Step Towards Secure Nature Inspired Routing Algorithms
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    Chapter 23 Optimal Broadcasting in Metropolitan MANETs Using Multiobjective Scatter Search
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    Chapter 24 Evolutionary Design of OAB and AAB Communication Schedules for Interconnection Networks
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    Chapter 25 A Multiagent Algorithm for Graph Partitioning
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    Chapter 26 Tracing Denial of Service Origin: Ant Colony Approach
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    Chapter 27 Optimisation of Constant Matrix Multiplication Operation Hardware Using a Genetic Algorithm
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    Chapter 28 Finding Compact BDDs Using Genetic Programming
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    Chapter 29 Efficient Evolutionary Approaches for the Data Ordering Problem with Inversion
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    Chapter 30 GRACE: Generative Robust Analog Circuit Exploration
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    Chapter 31 On the Practical Limits of the Evolutionary Digital Filter Design at the Gate Level
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    Chapter 32 Image Space Colonization Algorithm
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    Chapter 33 Enhancement of an Automatic Fingerprint Identification System Using a Genetic Algorithm and Genetic Programming
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    Chapter 34 Evolutionary Singularity Filter Bank Optimization for Fingerprint Image Enhancement
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    Chapter 35 Evolutionary Generation of Prototypes for a Learning Vector Quantization Classifier
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    Chapter 36 Automatic Classification of Handsegmented Image Parts with Differential Evolution
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    Chapter 37 Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image Analysis
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    Chapter 38 The Honeybee Search Algorithm for Three-Dimensional Reconstruction
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    Chapter 39 Improving the Segmentation Stage of a Pedestrian Tracking Video-Based System by Means of Evolution Strategies
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    Chapter 40 An Adaptive Stochastic Collision Detection Between Deformable Objects Using Particle Swarm Optimization
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    Chapter 41 Genetic Programming for Automatic Stress Detection in Spoken English
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    Chapter 42 Localisation Fitness in GP for Object Detection
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    Chapter 43 Immune Multiobjective Optimization Algorithm for Unsupervised Feature Selection
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    Chapter 44 Classifying and Counting Vehicles in Traffic Control Applications
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    Chapter 45 A Neural Evolutionary Classification Method for Brain-Wave Analysis
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    Chapter 46 Differential Evolution Applied to a Multimodal Information Theoretic Optimization Problem
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    Chapter 47 Artificial Life Models in Lung CTs
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    Chapter 48 Learning High-Level Visual Concepts Using Attributed Primitives and Genetic Programming
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    Chapter 49 Evolutionary Denoising Based on an Estimation of Hölder Exponents with Oscillations
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    Chapter 50 Probability Evolutionary Algorithm Based Human Body Tracking
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    Chapter 51 On Interactive Evolution Strategies
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    Chapter 52 An Experimental Comparative Study for Interactive Evolutionary Computation Problems
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    Chapter 53 Creating Chance by New Interactive Evolutionary Computation: Bipartite Graph Based Interactive Genetic Algorithm
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    Chapter 54 Interactive Evolutionary Computation Framework and the On-Chance Operator for Product Design
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    Chapter 55 Practically Applying Interactive Genetic Algorithms to Customers’ Designs on a Customizable C2C Framework: Entrusting Select Operations to IGA Users
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    Chapter 56 Evaluation of Sequential, Multi-objective, and Parallel Interactive Genetic Algorithms for Multi-objective Floor Plan Optimisation
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    Chapter 57 Applications of Evolutionary Computing
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    Chapter 58 Robot Paintings Evolved Using Simulated Robots
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    Chapter 59 Consensual Paintings
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    Chapter 60 Using Physiological Signals to Evolve Art
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    Chapter 61 Science of Networks and Music: A New Approach on Musical Analysis and Creation
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    Chapter 62 Continuous-Time Recurrent Neural Networks for Generative and Interactive Musical Performance
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    Chapter 63 Synthesising Timbres and Timbre-Changes from Adjectives/Adverbs
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    Chapter 64 Modelling Expressive Performance: A Regression Tree Approach Based on Strongly Typed Genetic Programming
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    Chapter 65 Evolutionary Musique Concrète
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    Chapter 66 A Connectionist Architecture for the Evolution of Rhythms
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    Chapter 67 MovieGene: Evolutionary Video Production Based on Genetic Algorithms and Cinematic Properties
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    Chapter 68 Audible Convergence for Optimal Base Melody Extension with Statistical Genre-Specific Interval Distance Evaluation
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    Chapter 69 A Two-Stage Autonomous Evolutionary Music Composer
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    Chapter 70 Layered Genetical Algorithms Evolving into Musical Accompaniment Generation
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    Chapter 71 A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization
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    Chapter 72 Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability
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    Chapter 73 Integrating Techniques from Statistical Ranking into Evolutionary Algorithms
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    Chapter 74 The Role of Representations in Dynamic Knapsack Problems
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    Chapter 75 The Effect of Building Block Construction on the Behavior of the GA in Dynamic Environments: A Case Study Using the Shaky Ladder Hyperplane-Defined Functions
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    Chapter 76 Associative Memory Scheme for Genetic Algorithms in Dynamic Environments
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    Chapter 77 Bayesian Optimization Algorithms for Dynamic Problems
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    Chapter 78 Prudent-Daring vs Tolerant Survivor Selection Schemes in Control Design of Electric Drives
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
5 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Applications of Evolutionary Computing
Published by
Lecture notes in computer science, January 2006
DOI 10.1007/11732242
ISBNs
978-3-54-033237-4, 978-3-54-033238-1
Authors

Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, Ernesto Costa, Carlos Cotta, Rolf Drechsler, Evelyne Lutton, Penousal Machado, Jason H. Moore, Juan Romero, George D. Smith, Giovanni Squillero, Hideyuki Takagi, Rothlauf, Franz, Zhang, Mengjie, Lett, Malcolm, Xie, Huayang, Andreae, Peter

Editors

Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, Ernesto Costa, Carlos Cotta, Rolf Drechsler, Evelyne Lutton, Penousal Machado, Jason H. Moore, Juan Romero, George D. Smith, Giovanni Squillero, Hideyuki Takagi

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 5%
Unknown 20 95%
Readers by discipline Count As %
Computer Science 1 5%
Unknown 20 95%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 31 January 2020.
All research outputs
#685,625
of 22,811,321 outputs
Outputs from Lecture notes in computer science
#77
of 8,124 outputs
Outputs of similar age
#1,484
of 154,447 outputs
Outputs of similar age from Lecture notes in computer science
#2
of 146 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 154,447 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.