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Applications of Evolutionary Computation

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Enhanced Multiobjective Population-Based Incremental Learning with Applications in Risk Treaty Optimization
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    Chapter 2 Genetic Programming with Memory For Financial Trading
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    Chapter 3 Applications of Evolutionary Computation
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    Chapter 4 Applications of Evolutionary Computation
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    Chapter 5 Portfolio Optimization, a Decision-Support Methodology for Small Budgets
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    Chapter 6 Evolutionary Multiobjective Optimization for Portfolios in Emerging Markets: Contrasting Higher Moments and Median Models
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    Chapter 7 On Combinatorial Optimisation in Analysis of Protein-Protein Interaction and Protein Folding Networks
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    Chapter 8 A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data
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    Chapter 9 Automating Biomedical Data Science Through Tree-Based Pipeline Optimization
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    Chapter 10 Bicliques in Graphs with Correlated Edges: From Artificial to Biological Networks
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    Chapter 11 Hybrid Biclustering Algorithms for Data Mining
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    Chapter 12 Discovering Potential Clinical Profiles of Multiple Sclerosis from Clinical and Pathological Free Text Data with Constrained Non-negative Matrix Factorization
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    Chapter 13 Application of Evolutionary Algorithms for the Optimization of Genetic Regulatory Networks
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    Chapter 14 A Hybrid Discrete Artificial Bee Colony Algorithm for the Multicast Routing Problem
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    Chapter 15 Applications of Evolutionary Computation
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    Chapter 16 Joint Topology Optimization, Power Control and Spectrum Allocation for Intra-Vehicular Multi-hop Sensor Networks Using Dandelion-Encoded Heuristics
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    Chapter 17 A Heuristic Crossover Enhanced Evolutionary Algorithm for Clustering Wireless Sensor Network
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    Chapter 18 A Variable Local Search Based Memetic Algorithm for the Load Balancing Problem in Cloud Computing
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    Chapter 19 An (MI)LP-based Primal Heuristic for 3-Architecture Connected Facility Location in Urban Access Network Design
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    Chapter 20 Reducing Efficiency of Connectivity-Splitting Attack on Newscast via Limited Gossip
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    Chapter 21 A Distributed Intrusion Detection Framework Based on Evolved Specialized Ensembles of Classifiers
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    Chapter 22 UAV Fleet Mobility Model with Multiple Pheromones for Tracking Moving Observation Targets
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    Chapter 23 Towards Intelligent Biological Control: Controlling Boolean Networks with Boolean Networks
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    Chapter 24 The Emergence of Cooperation in Public Goods Games on Randomly Growing Dynamic Networks
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    Chapter 25 Influence Maximization in Social Networks with Genetic Algorithms
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    Chapter 26 Measuring Diversity of Socio-Cognitively Inspired ACO Search
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    Chapter 27 Multiwinner Voting in Genetic Algorithms for Solving Ill-Posed Global Optimization Problems
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    Chapter 28 A Decentralized PSO with Decoder for Scheduling Distributed Electricity Generation
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    Chapter 29 Comparison of Multi-objective Evolutionary Optimization in Smart Building Scenarios
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    Chapter 30 A Hybrid Genetic Algorithm for the Interaction of Electricity Retailers with Demand Response
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    Chapter 31 Stigmergy-Based Scheduling of Flexible Loads
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    Chapter 32 Electrical Load Pattern Shape Clustering Using Ant Colony Optimization
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    Chapter 33 Optimization of Operation and Control Strategies for Battery Energy Storage Systems by Evolutionary Algorithms
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    Chapter 34 Orthogonally Evolved AI to Improve Difficulty Adjustment in Video Games
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    Chapter 35 There Can Be only One: Evolving RTS Bots via Joust Selection
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    Chapter 36 Constrained Level Generation Through Grammar-Based Evolutionary Algorithms
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    Chapter 37 Evolving Chess-like Games Using Relative Algorithm Performance Profiles
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    Chapter 38 Online Evolution for Multi-action Adversarial Games
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    Chapter 39 The Story of Their Lives: Massive Procedural Generation of Heroes’ Journeys Using Evolved Agent-Based Models and Logical Reasoning
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    Chapter 40 Dangerousness Metric for Gene Regulated Car Driving
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    Chapter 41 Using Isovists to Evolve Terrains with Gameplay Elements
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    Chapter 42 A Spatially-Structured PCG Method for Content Diversity in a Physics-Based Simulation Game
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    Chapter 43 Design and Evaluation of an Extended Learning Classifier-Based StarCraft Micro AI
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    Chapter 44 A Wrapper Feature Selection Approach to Classification with Missing Data
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    Chapter 45 Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification
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    Chapter 46 Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization
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    Chapter 47 Speaker Verification on Unbalanced Data with Genetic Programming
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    Chapter 48 Binary Tomography Reconstruction by Particle Aggregation
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    Chapter 49 Population Based Ant Colony Optimization for Reconstructing ECG Signals
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    Chapter 50 Can Evolutionary Algorithms Beat Dynamic Programming for Hybrid Car Control?
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    Chapter 51 NSGA-II Based Auto-Calibration of Automatic Number Plate Recognition Camera for Vehicle Speed Measurement
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    Chapter 52 Environment-Model Based Testing with Differential Evolution in an Industrial Setting
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    Chapter 53 Workforce Scheduling in Inbound Customer Call Centres with a Case Study
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
13 tweeters
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
55 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Applications of Evolutionary Computation
Published by
Lecture notes in computer science, March 2016
DOI 10.1007/978-3-319-31204-0
ISBNs
978-3-31-931203-3, 978-3-31-931204-0
Authors

Giovanni Squillero, Paolo Burelli, Bucur, Doina, Iacca, Giovanni, Ahmed, Soha, Zhang, Mengjie, Peng, Lifeng, Xue, Bing

Editors

Giovanni Squillero, Paolo Burelli

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 7 13%
Student > Master 7 13%
Student > Ph. D. Student 6 11%
Researcher 5 9%
Student > Doctoral Student 4 7%
Other 7 13%
Unknown 19 35%
Readers by discipline Count As %
Computer Science 23 42%
Engineering 4 7%
Agricultural and Biological Sciences 1 2%
Mathematics 1 2%
Decision Sciences 1 2%
Other 3 5%
Unknown 22 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 July 2019.
All research outputs
#2,032,814
of 15,422,022 outputs
Outputs from Lecture notes in computer science
#597
of 7,568 outputs
Outputs of similar age
#47,073
of 265,709 outputs
Outputs of similar age from Lecture notes in computer science
#4
of 65 outputs
Altmetric has tracked 15,422,022 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,568 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 92% 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 265,709 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 82% of its contemporaries.
We're also able to compare this research output to 65 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 93% of its contemporaries.