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Artificial Life and Evolutionary Computation

Overview of attention for book
Cover of 'Artificial Life and Evolutionary Computation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Energy Consumption of Evolutionary Algorithms in JavaScript
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    Chapter 2 A Tabu Search Algorithm for the Map Labeling Problem
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    Chapter 3 How to Turn a Leaky Learner into a Sealed One
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    Chapter 4 Capturing Emerging Complexity in Lenia
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    Chapter 5 On the Detection of Significant Pairwise Interactions in Complex Systems
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    Chapter 6 The Properties of Pseudo-Attractors in Random Boolean Networks
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    Chapter 7 Analysing the Expressiveness of Metabolic Networks Representations
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    Chapter 8 scFBApy: A Python Framework for Super-Network Flux Balance Analysis
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    Chapter 9 Semantic Information as a Measure of Synthetic Cells’ Knowledge of the Environment
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    Chapter 10 General Lines, Routes and Perspectives of Wetware Embodied AI. From Its Organizational Bases to a Glimpse on Social Chemical Robotics
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    Chapter 11 A Proposed Mechanism for  in vivo Programming Transmembrane Receptors
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    Chapter 12 Kauffman Model with Spatially Separated Ligation and Cleavage Reactions
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    Chapter 13 Percolation Breakdown in Binary and Ternary Monodisperse and Polydisperse Systems of Spherical Particles
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    Chapter 14 Entangled Gondolas. Design of Multi-layer Networks of Quantum-Driven Robotic Swarms
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    Chapter 15 Generalizations of Evolved Decision-Making Mechanisms in Swarm Collective Perception
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    Chapter 16 An Investigation of Graceful Degradation in Boolean Network Robots Subject to Online Adaptation
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    Chapter 17 Blockchain-Empowered PSO for Scalable Swarm Robotics
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    Chapter 18 Hybrid GP/PSO Representation of 1-D Signals in an Autoencoder Fashion
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    Chapter 19 Local Delay Plasticity Supports Generalized Learning in Spiking Neural Networks
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    Chapter 20 Improving PVC Detection in ECG Signals: A Recurrent Neural Network Approach
  22. Altmetric Badge
    Chapter 21 Clustering Trajectories to Study Diabetic Kidney Disease
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    Chapter 22 Multi-classification of Alzheimer’s Disease by NSGA-II Slices Optimization and Fusion Deep Learning
  24. Altmetric Badge
    Chapter 23 Exploiting the Potential of Bayesian Networks in Deriving New Insight into Diabetic Kidney Disease (DKD)
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    Chapter 24 A Genetic Algorithm for Feature Selection for Alzheimer’s Disease Detection Using a Deep Transfer Learning Approach
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    Chapter 25 Learning Whether to be Informed in an Agent-Based Evolutionary Market Model
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    Chapter 26 Heterogeneous Mean-Field Analysis of Best-of-n Decision Making in Networks with Zealots
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    Chapter 27 Does ‘Community Detection’ Find Real Emerging Meso-structures? A Statistical Test Based on Complex Networks Methods
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    Chapter 28 Self-loops in Social Networks: Behavior of Eigenvector Centrality
  30. Altmetric Badge
    Chapter 29 Evolutionary Story Sifting over the Log of a Social Simulation
  31. Altmetric Badge
    Chapter 30 Evolution of Attraction for Cooperation
Attention for Chapter 1: Energy Consumption of Evolutionary Algorithms in JavaScript
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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Chapter title
Energy Consumption of Evolutionary Algorithms in JavaScript
Chapter number 1
Book title
Artificial Life and Evolutionary Computation
Published in
Communications in Computer and Information Science, January 2024
DOI 10.1007/978-3-031-57430-6_1
Book ISBNs
978-3-03-157429-0, 978-3-03-157430-6
Authors

Merelo-Guervós, Juan J., García-Valdez, Mario, Castillo, Pedro A.

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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 28 May 2024.
All research outputs
#8,083,313
of 25,994,718 outputs
Outputs from Communications in Computer and Information Science
#148
of 728 outputs
Outputs of similar age
#111,604
of 365,430 outputs
Outputs of similar age from Communications in Computer and Information Science
#4
of 46 outputs
Altmetric has tracked 25,994,718 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 728 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 78% 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 365,430 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 69% of its contemporaries.
We're also able to compare this research output to 46 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 91% of its contemporaries.