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EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II

Overview of attention for book
Cover of 'EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II'

Table of Contents

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    Book Overview
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    Chapter 1 Control of Nonlinear Dynamic Systems with the Cell Mapping Method
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    Chapter 2 Empirical Analysis of a Stochastic Approximation Approach for Computing Quasi-stationary Distributions
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    Chapter 3 Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty
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    Chapter 4 Analysis and Classification of Epilepsy Stages with Genetic Programming
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    Chapter 5 Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming
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    Chapter 6 Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems
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    Chapter 7 Software Requirements Optimization Using Multi-Objective Quantum-Inspired Hybrid Differential Evolution
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    Chapter 8 Evolving a Pareto Front for an Optimal Bi-objective Robust Interception Problem with Imperfect Information
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    Chapter 9 PSA – A New Scalable Space Partition Based Selection Algorithm for MOEAs
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    Chapter 10 EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II
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    Chapter 11 A Hyperheuristic Approach for Guiding Enumeration in Constraint Solving
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    Chapter 12 Maximum Parsimony Phylogenetic Inference Using Simulated Annealing
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    Chapter 13 A Bayesian Network Based Critical Infrastructure Risk Model
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    Chapter 14 Adequate Variance Maintenance in a Normal EDA via the Potential-Selection Method
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    Chapter 15 Linkage Learning Using Graphical Markov Model Structure: An Experimental Study
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    Chapter 16 A Comparison Study of PSO Neighborhoods
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    Chapter 17 hyp DE: A Hyper-Heuristic Based on Differential Evolution for Solving Constrained Optimization Problems
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    Chapter 18 Evolutionary Computation Applied to the Automatic Design of Artificial Neural Networks and Associative Memories
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    Chapter 19 Segmentation of Blood Cell Images Using Evolutionary Methods
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    Chapter 20 Fast Circle Detection Using Harmony Search Optimization
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    Chapter 21 Particle Swarm Optimization Applied to Interferogram Demodulation
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    Chapter 22 Evolving Conspicuous Point Detectors for Camera Trajectory Estimation
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    Chapter 23 Purposive Evolution for Object Recognition Using an Artificial Visual Cortex
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    Chapter 24 Evolving an Artificial Dorsal Stream on Purpose for Visual Attention
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    Chapter 25 Comparison of Two Evolutionary Approaches for the Polygonal Approximation of Digital Curves
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    Chapter 26 Evolution of Contours for Topology Optimization
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    Chapter 27 Multi-Objective Particle Swarm Optimisation for Molecular Transition State Search
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    Chapter 28 EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II
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    Chapter 29 Wasp Colony with a Multiobjective Local Optimizer for Dynamic Task Planning in a Production Plant
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    Chapter 30 Optimization Metaheuristic for Software Testing
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    Chapter 31 Stochastic Optimisation in Computational Engineering Design
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    Chapter 32 Evolutionary Algorithms and Water Resources Optimization
Overall attention for this book and its chapters
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About this Attention Score

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Mentioned by

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Title
EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II
Published by
Advances in Intelligent Systems and Computing, January 2013
DOI 10.1007/978-3-642-31519-0
ISBNs
978-3-64-231518-3, 978-3-64-231519-0
Authors

Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand

Editors

Schütze, Oliver, Coello Coello, Carlos A., Tantar, Alexandru-Adrian, Tantar, Emilia, Bouvry, Pascal, Del Moral, Pierre, Legrand, Pierrick

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Student > Ph. D. Student 1 33%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Engineering 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 August 2022.
All research outputs
#17,156,647
of 25,992,468 outputs
Outputs from Advances in Intelligent Systems and Computing
#1
of 1 outputs
Outputs of similar age
#191,315
of 292,437 outputs
Outputs of similar age from Advances in Intelligent Systems and Computing
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.2. This one scored the same or higher as 0 of them.
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 292,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them