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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 Finding Near-Optimal Portfolios with Quality-Diversity
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    Chapter 2 Improving Image Filter Efficiency: A Multi-objective Genetic Algorithm Approach to Optimize Computing Efficiency
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    Chapter 3 Low-Memory Matrix Adaptation Evolution Strategies Exploiting Gradient Information and Lévy Flight
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    Chapter 4 Memory Based Evolutionary Algorithm for Dynamic Aircraft Conflict Resolution
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    Chapter 5 GM4OS: An Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks
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    Chapter 6 Evolving Staff Training Schedules Using an Extensible Fitness Function and a Domain Specific Language
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    Chapter 7 On the Utility of Probing Trajectories for Algorithm-Selection
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    Chapter 8 Nature-Inspired Portfolio Diversification Using Ant Brood Clustering
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    Chapter 9 Cellular Genetic Algorithms for Identifying Variables in Hybrid Gene Regulatory Networks
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    Chapter 10 Evolving Artificial Neural Networks for Simulating Fish Social Interactions
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    Chapter 11 Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem
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    Chapter 12 A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control
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    Chapter 13 Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments
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    Chapter 14 Finding Sets of Solutions for Temporal Uncertain Problems
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    Chapter 15 Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation
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    Chapter 16 Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation
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    Chapter 17 A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks
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    Chapter 18 Iterated Beam Search for Wildland Fire Suppression
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    Chapter 19 A New Angle: On Evolving Rotation Symmetric Boolean Functions
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    Chapter 20 On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems
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    Chapter 21 A Simple Statistical Test Against Origin-Biased Metaheuristics
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    Chapter 22 Optimizing Urban Infrastructure for E-Scooter Mobility
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    Chapter 23 Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks
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    Chapter 24 Evolutionary Computation Meets Stream Processing
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    Chapter 25 Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study
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    Chapter 26 Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach
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    Chapter 27 3D Motion Analysis in MRI Using a Multi-objective Evolutionary k -means Clustering
Attention for Chapter 13: Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Chapter title
Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments
Chapter number 13
Book title
Applications of Evolutionary Computation
Published in
arXiv, January 2024
DOI 10.1007/978-3-031-56852-7_13
Book ISBNs
978-3-03-156851-0, 978-3-03-156852-7
Authors

Cotta, Carlos, Gallardo, José E., Carlos Cotta, José E. Gallardo

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 May 2024.
All research outputs
#15,312,323
of 25,997,855 outputs
Outputs from arXiv
#202,975
of 962,142 outputs
Outputs of similar age
#144,372
of 365,580 outputs
Outputs of similar age from arXiv
#5,085
of 36,370 outputs
Altmetric has tracked 25,997,855 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 962,142 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 77% 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 365,580 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 59% of its contemporaries.
We're also able to compare this research output to 36,370 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.