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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
  2. Altmetric Badge
    Chapter 1 Evolutionary Biclustering of Microarray Data
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    Chapter 2 A Fuzzy Viterbi Algorithm for Improved Sequence Alignment and Searching of Proteins
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    Chapter 3 Tabu Search Method for Determining Sequences of Amino Acids in Long Polypeptides
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    Chapter 4 Order Preserving Clustering over Multiple Time Course Experiments
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    Chapter 5 Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?
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    Chapter 6 A Class of Pareto Archived Evolution Strategy Algorithms Using Immune Inspired Operators for Ab-Initio Protein Structure Prediction
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    Chapter 7 Neural Networks and Temporal Gene Expression Data
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    Chapter 8 Bayesian Learning with Local Support Vector Machines for Cancer Classification with Gene Expression Data
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    Chapter 9 Genes Related with Alzheimer’s Disease: A Comparison of Evolutionary Search, Statistical and Integer Programming Approaches
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    Chapter 10 Syntactic Approach to Predict Membrane Spanning Regions of Transmembrane Proteins
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    Chapter 11 An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification
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    Chapter 12 Differential Evolution and Its Application to Metabolic Flux Analysis
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    Chapter 13 GEMPLS: A New QSAR Method Combining Generic Evolutionary Method and Partial Least Squares
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    Chapter 14 A Performance Evaluation Framework for Nature Inspired Routing Algorithms
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    Chapter 15 Empirical Models Based on Hybrid Intelligent Systems for Assessing the Reliability of Complex Networks
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    Chapter 16 A Study of an Iterated Local Search on the Reliable Communication Networks Design Problem
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    Chapter 17 Unsupervised Anomaly Detection Based n an Evolutionary Artificial Immune Network
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    Chapter 18 Evolutionary Algorithms for Location Area Management
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    Chapter 19 Evolutionary Design of Gate-Level Polymorphic Digital Circuits
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    Chapter 20 A Biological Development Model for the Design of Robust Multiplier
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    Chapter 21 Automatic Completion and Refinement of Verification Sets for Microprocessor Cores
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    Chapter 22 A Genetic Algorithm for VLSI Floorplanning Using O-Tree Representation
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    Chapter 23 Evolving Reversible Circuits for the Even-Parity Problem
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    Chapter 24 Counter-Based Ant Colony Optimization as a Hardware-Oriented Meta-heuristic
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    Chapter 25 Use of an Evolutionary Tool for Antenna Array Synthesis
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    Chapter 26 A Coevolutionary Approach for Clustering with Feature Weighting Application to Image Analysis
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    Chapter 27 A New Evolutionary Algorithm for Image Segmentation
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    Chapter 28 An Interactive EA for Multifractal Bayesian Denoising
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    Chapter 29 Object Detection for Computer Vision Using a Robust Genetic Algorithm
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    Chapter 30 An Evolutionary Infection Algorithm for Dense Stereo Correspondence
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    Chapter 31 Automatic Image Enhancement Driven by Evolution Based on Ridgelet Frame in the Presence of Noise
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    Chapter 32 Practical Evaluation of Efficient Fitness Functions for Binary Images
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    Chapter 33 Selective SVMs Ensemble Driven by Immune Clonal Algorithm
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    Chapter 34 Sensory-Motor Coordination in Gaze Control
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    Chapter 35 Region Merging for Severe Oversegmented Images Using a Hierarchical Social Metaheuristic
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    Chapter 36 Automated Photogrammetric Network Design Using the Parisian Approach
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    Chapter 37 Design of Fast Multidimensional Filters Using Genetic Algorithms
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    Chapter 38 Genetic-Fuzzy Optimization Algorithm for Adaptive Learning of Human Vocalization in Robotics
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    Chapter 39 Evolving Parameters of Surveillance Video Systems for Non-overfitted Learning
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    Chapter 40 A Multistage Approach to Cooperatively Coevolving Feature Construction and Object Detection
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    Chapter 41 An Implicit Context Representation for Evolving Image Processing Filters
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    Chapter 42 Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition
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    Chapter 43 Open Problems in Evolutionary Music and Art
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    Chapter 44 Applications of Evolutionary Computing
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    Chapter 45 Artificial Life, Death and Epidemics in Evolutionary, Generative Electronic Art
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    Chapter 46 The Electric Sheep Screen-Saver: A Case Study in Aesthetic Evolution
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    Chapter 47 Swarm Tech-Tiles Tim
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    Chapter 48 Evolutionary Methods for Ant Colony Paintings
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    Chapter 49 Evolutionary Search for Musical Parallelism
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    Chapter 50 Developing Fitness Functions for Pleasant Music: Zipf’s Law and Interactive Evolution Systems
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    Chapter 51 Understanding Expressive Music Performance Using Genetic Algorithms
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    Chapter 52 Toward User-Directed Evolution of Sound Synthesis Parameters
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    Chapter 53 Playing in the Pheromone Playground: Experiences in Swarm Painting
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    Chapter 54 Convergence Synthesis of Dynamic Frequency Modulation Tones Using an Evolution Strategy
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    Chapter 55 Granular Sampling Using a Pulse-Coupled Network of Spiking Neurons
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    Chapter 56 Growing Music: Musical Interpretations of L-Systems
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    Chapter 57 Exploring Rhythmic Automata
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    Chapter 58 Extra-Music(ologic)al Models for Algorithmic Composition
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    Chapter 59 The Memory Indexing Evolutionary Algorithm for Dynamic Environments
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    Chapter 60 Dynamic Decentralized Packet Clustering in Networks
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    Chapter 61 MOEA-Based Approach to Delayed Decisions for Robust Conceptual Design
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    Chapter 62 Unified Particle Swarm Optimization in Dynamic Environments
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    Chapter 63 Shaky Ladders, Hyperplane-Defined Functions and Genetic Algorithms: Systematic Controlled Observation in Dynamic Environments
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    Chapter 64 A Hierarchical Evolutionary Algorithm with Noisy Fitness in Structural Optimization Problems
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    Chapter 65 Assortative Mating in Genetic Algorithms for Dynamic Problems
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    Chapter 66 A Hybrid Approach Based on Evolutionary Strategies and Interval Arithmetic to Perform Robust Designs
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
3 X users
wikipedia
3 Wikipedia pages

Citations

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4 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Applications of Evolutionary Computing
Published by
Lecture notes in computer science, January 2005
DOI 10.1007/b106856
Pubmed ID
ISBNs
978-3-54-025396-9, 978-3-54-032003-6
Authors

Rothlauf, Franz, Bush WS, Motsinger AA, Dudek SM, Ritchie MD

Editors

Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, David Wolfe Corne, Rolf Drechsler, Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith, Giovanni Squillero

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 4%
Germany 1 2%
Australia 1 2%
Malaysia 1 2%
China 1 2%
Unknown 49 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Bachelor 5 9%
Student > Doctoral Student 5 9%
Researcher 4 7%
Professor > Associate Professor 3 5%
Other 7 13%
Unknown 20 36%
Readers by discipline Count As %
Computer Science 16 29%
Engineering 9 16%
Mathematics 2 4%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Other 6 11%
Unknown 20 36%
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 12 November 2023.
All research outputs
#7,061,613
of 23,577,654 outputs
Outputs from Lecture notes in computer science
#2,227
of 8,143 outputs
Outputs of similar age
#34,828
of 141,954 outputs
Outputs of similar age from Lecture notes in computer science
#43
of 132 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,143 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 141,954 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.