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Parallel Problem Solving from Nature, PPSN XI

Overview of attention for book
Cover of 'Parallel Problem Solving from Nature, PPSN XI'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem
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    Chapter 2 Mirrored Sampling and Sequential Selection for Evolution Strategies
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    Chapter 3 Optimisation and Generalisation: Footprints in Instance Space
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    Chapter 4 Adaptive Drift Analysis
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    Chapter 5 Optimizing Monotone Functions Can Be Difficult
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    Chapter 6 Log-Linear Convergence of the Scale-Invariant (μ/μ w ,λ)-ES and Optimal μ for Intermediate Recombination for Large Population Sizes
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    Chapter 7 Exploiting Overlap When Searching for Robust Optima
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    Chapter 8 Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis
  10. Altmetric Badge
    Chapter 9 Parallel Problem Solving from Nature, PPSN XI
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    Chapter 10 When Does Dependency Modelling Help? Using a Randomized Landscape Generator to Compare Algorithms in Terms of Problem Structure
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    Chapter 11 Parallel Problem Solving from Nature, PPSN XI
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    Chapter 12 Differential Mutation Based on Population Covariance Matrix
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    Chapter 13 General Lower Bounds for the Running Time of Evolutionary Algorithms
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    Chapter 14 A Binary Encoding Supporting Both Mutation and Recombination
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    Chapter 15 Towards Analyzing Recombination Operators in Evolutionary Search
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    Chapter 16 Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies
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    Chapter 17 A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes
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    Chapter 18 Drift Analysis with Tail Bounds
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    Chapter 19 More Effective Crossover Operators for the All-Pairs Shortest Path Problem
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    Chapter 20 Comparison-Based Adaptive Strategy Selection with Bandits in Differential Evolution
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    Chapter 21 Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation
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    Chapter 22 An Archive Maintenance Scheme for Finding Robust Solutions
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    Chapter 23 Experimental Supplements to the Theoretical Analysis of Migration in the Island Model
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    Chapter 24 General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms
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    Chapter 25 Negative Drift in Populations
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    Chapter 26 Log(λ) Modifications for Optimal Parallelism
  28. Altmetric Badge
    Chapter 27 The Linkage Tree Genetic Algorithm
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    Chapter 28 An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System
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    Chapter 29 The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic Environments
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    Chapter 30 Evolutionary Learning of Technical Trading Rules without Data-Mining Bias
  32. Altmetric Badge
    Chapter 31 Using Computational Intelligence to Identify Performance Bottlenecks in a Computer System
  33. Altmetric Badge
    Chapter 32 Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation
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    Chapter 33 Globally Induced Model Trees: An Evolutionary Approach
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    Chapter 34 Open-Ended Evolutionary Robotics: An Information Theoretic Approach
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    Chapter 35 A Novel Similarity-Based Crossover for Artificial Neural Network Evolution
  37. Altmetric Badge
    Chapter 36 Indirect Encoding of Neural Networks for Scalable Go
  38. Altmetric Badge
    Chapter 37 Comparison-Based Optimizers Need Comparison-Based Surrogates
  39. Altmetric Badge
    Chapter 38 A Cooperative Coevolutionary Approach to Partitional Clustering
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    Chapter 39 Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
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    Chapter 40 Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction.
  42. Altmetric Badge
    Chapter 41 The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies
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    Chapter 42 Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography
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    Chapter 43 Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition Distributions
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    Chapter 44 Analyzing the Credit Default Swap Market Using Cartesian Genetic Programming
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    Chapter 45 A Memetic Cooperative Optimization Schema and Its Application to the Tool Switching Problem
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    Chapter 46 Ownership and Trade in Spatial Evolutionary Memetic Games
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    Chapter 47 A Hyper-Heuristic Approach to Strip Packing Problems
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    Chapter 48 Asymptotic Analysis of Computational Multi-Agent Systems
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    Chapter 49 Path-Guided Mutation for Stochastic Pareto Local Search Algorithms
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    Chapter 50 Scheduling English Football Fixtures over the Holiday Period Using Hyper-heuristics
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    Chapter 51 Graph Clustering Based Model Building
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    Chapter 52 How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms
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    Chapter 53 Secure and Task Abortion Aware GA-Based Hybrid Metaheuristics for Grid Scheduling
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    Chapter 54 A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover
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    Chapter 55 Ant Based Hyper Heuristics with Space Reduction: A Case Study of the p-Median Problem
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    Chapter 56 A Study of Multi-parent Crossover Operators in a Memetic Algorithm
  58. Altmetric Badge
    Chapter 57 A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover
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    Chapter 58 A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model
  60. Altmetric Badge
    Chapter 59 Theoretically Investigating Optimal μ-Distributions for the Hypervolume Indicator: First Results for Three Objectives
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    Chapter 60 Convergence Rates of (1+1) Evolutionary Multiobjective Optimization Algorithms
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    Chapter 61 Tight Bounds for the Approximation Ratio of the Hypervolume Indicator
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    Chapter 62 Evolutionary Multiobjective Optimization Algorithm as a Markov System
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    Chapter 63 A Natural Evolution Strategy for Multi-objective Optimization
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    Chapter 64 Solving Multiobjective Optimization Problem by Constraint Optimization
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    Chapter 65 Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization
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    Chapter 66 Objective Space Partitioning Using Conflict Information for Many-Objective Optimization
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    Chapter 67 How Crossover Speeds Up Evolutionary Algorithms for the Multi-criteria All-Pairs-Shortest-Path Problem
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    Chapter 68 Path Relinking on Many-Objective NK-Landscapes
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    Chapter 69 In Search of Equitable Solutions Using Multi-objective Evolutionary Algorithms
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    Chapter 70 Stopping Criteria for Genetic Algorithms with Application to Multiobjective Optimization
  72. Altmetric Badge
    Chapter 71 Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search
  73. Altmetric Badge
    Chapter 72 On Expected-Improvement Criteria for Model-based Multi-objective Optimization
  74. Altmetric Badge
    Chapter 73 Parameter Tuning Boosts Performance of Variation Operators in Multiobjective Optimization
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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
twitter
5 tweeters
wikipedia
4 Wikipedia pages

Citations

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4 Dimensions

Readers on

mendeley
151 Mendeley
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Title
Parallel Problem Solving from Nature, PPSN XI
Published by
ADS, January 2010
DOI 10.1007/978-3-642-15844-5
ISBNs
978-3-64-215843-8, 978-3-64-215844-5
Authors

Schaefer, Robert, Cotta, Carlos, Kołodziej, Joanna, Rudolph, Günter

Editors

Robert Schaefer, Carlos Cotta, Joanna Kołodziej, Günter Rudolph

Twitter Demographics

The data shown below were collected from the profiles of 5 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 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 151 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 <1%
Unknown 150 99%
Readers by discipline Count As %
Unknown 151 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 19 June 2021.
All research outputs
#1,624,175
of 21,376,549 outputs
Outputs from ADS
#874
of 36,939 outputs
Outputs of similar age
#29,316
of 280,472 outputs
Outputs of similar age from ADS
#11
of 617 outputs
Altmetric has tracked 21,376,549 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 36,939 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 97% 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 280,472 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 89% of its contemporaries.
We're also able to compare this research output to 617 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 98% of its contemporaries.