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Evolutionary Multi-Criterion Optimization

Overview of attention for book
Cover of 'Evolutionary Multi-Criterion Optimization'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 On the Effect of Scalarising Norm Choice in a ParEGO implementation
  3. Altmetric Badge
    Chapter 2 Multi-objective Big Data Optimization with jMetal and Spark
  4. Altmetric Badge
    Chapter 3 An Empirical Assessment of the Properties of Inverted Generational Distance on Multi- and Many-Objective Optimization
  5. Altmetric Badge
    Chapter 4 Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms
  6. Altmetric Badge
    Chapter 5 Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation
  7. Altmetric Badge
    Chapter 6 The Multiobjective Shortest Path Problem Is NP-Hard, or Is It?
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    Chapter 7 Angle-Based Preference Models in Multi-objective Optimization
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    Chapter 8 Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function
  10. Altmetric Badge
    Chapter 9 A Multiobjective Strategy to Allocate Roadside Units in a Vehicular Network with Guaranteed Levels of Service
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    Chapter 10 An Approach for the Local Exploration of Discrete Many Objective Optimization Problems
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    Chapter 11 A Note on the Detection of Outliers in a Binary Outranking Relation
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    Chapter 12 Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results
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    Chapter 13 Weighted Stress Function Method for Multiobjective Evolutionary Algorithm Based on Decomposition
  15. Altmetric Badge
    Chapter 14 Timing the Decision Support for Real-World Many-Objective Optimization Problems
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    Chapter 15 On the Influence of Altering the Action Set on PROMETHEE II’s Relative Ranks
  17. Altmetric Badge
    Chapter 16 Peek – Shape – Grab: A Methodology in Three Stages for Approximating the Non-dominated Points of Multiobjective Discrete/Combinatorial Optimization Problems with a Multiobjective Metaheuristic
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    Chapter 17 A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering
  19. Altmetric Badge
    Chapter 18 A Fast Incremental BSP Tree Archive for Non-dominated Points
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    Chapter 19 Adaptive Operator Selection for Many-Objective Optimization with NSGA-III
  21. Altmetric Badge
    Chapter 20 On Using Decision Maker Preferences with ParEGO
  22. Altmetric Badge
    Chapter 21 First Investigations on Noisy Model-Based Multi-objective Optimization
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    Chapter 22 Fusion of Many-Objective Non-dominated Solutions Using Reference Points
  24. Altmetric Badge
    Chapter 23 An Expedition to Multimodal Multi-objective Optimization Landscapes
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    Chapter 24 Neutral Neighbors in Bi-objective Optimization: Distribution of the Most Promising for Permutation Problems
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    Chapter 25 Multi-objective Adaptation of a Parameterized GVGAI Agent Towards Several Games
  27. Altmetric Badge
    Chapter 26 Towards Standardized and Seamless Integration of Expert Knowledge into Multi-objective Evolutionary Optimization Algorithms
  28. Altmetric Badge
    Chapter 27 Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results
  29. Altmetric Badge
    Chapter 28 Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms
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    Chapter 29 A Fitness Landscape Analysis of Pareto Local Search on Bi-objective Permutation Flowshop Scheduling Problems
  31. Altmetric Badge
    Chapter 30 Dimensionality Reduction Approach for Many-Objective Vehicle Routing Problem with Demand Responsive Transport
  32. Altmetric Badge
    Chapter 31 Heterogeneous Evolutionary Swarms with Partial Redundancy Solving Multi-objective Tasks
  33. Altmetric Badge
    Chapter 32 Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization
  34. Altmetric Badge
    Chapter 33 Predator-Prey Techniques for Solving Multiobjective Scheduling Problems for Unrelated Parallel Machines
  35. Altmetric Badge
    Chapter 34 An Overview of Weighted and Unconstrained Scalarizing Functions
  36. Altmetric Badge
    Chapter 35 Multi-objective Representation Setups for Deformation-Based Design Optimization
  37. Altmetric Badge
    Chapter 36 Design Perspectives of an Evolutionary Process for Multi-objective Molecular Optimization
  38. Altmetric Badge
    Chapter 37 Towards a Better Balance of Diversity and Convergence in NSGA-III: First Results
  39. Altmetric Badge
    Chapter 38 A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization
  40. Altmetric Badge
    Chapter 39 A Population-Based Algorithm for Learning a Majority Rule Sorting Model with Coalitional Veto
  41. Altmetric Badge
    Chapter 40 Injection of Extreme Points in Evolutionary Multiobjective Optimization Algorithms
  42. Altmetric Badge
    Chapter 41 The Impact of Population Size, Number of Children, and Number of Reference Points on the Performance of NSGA-III
  43. Altmetric Badge
    Chapter 42 Multi-objective Optimization for Liner Shipping Fleet Repositioning
  44. Altmetric Badge
    Chapter 43 Surrogate-Assisted Partial Order-Based Evolutionary Optimisation
  45. Altmetric Badge
    Chapter 44 Hypervolume Indicator Gradient Ascent Multi-objective Optimization
  46. Altmetric Badge
    Chapter 45 Toward Step-Size Adaptation in Evolutionary Multiobjective Optimization
  47. Altmetric Badge
    Chapter 46 Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time
Attention for Chapter 2: Multi-objective Big Data Optimization with jMetal and Spark
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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7 X users


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Chapter title
Multi-objective Big Data Optimization with jMetal and Spark
Chapter number 2
Book title
Evolutionary Multi-Criterion Optimization
Published in
Lecture notes in computer science, February 2017
DOI 10.1007/978-3-319-54157-0_2
Book ISBNs
978-3-31-954156-3, 978-3-31-954157-0

Cristóbal Barba-Gonzaléz, José García-Nieto, Antonio J. Nebro, José F. Aldana-Montes

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 38%
Researcher 3 13%
Professor 3 13%
Student > Master 3 13%
Lecturer 2 8%
Other 2 8%
Unknown 2 8%
Readers by discipline Count As %
Computer Science 17 71%
Engineering 2 8%
Earth and Planetary Sciences 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Unknown 3 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 July 2017.
All research outputs
of 22,961,203 outputs
Outputs from Lecture notes in computer science
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Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
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Altmetric has tracked 22,961,203 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 79% 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 310,677 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 71% of its contemporaries.
We're also able to compare this research output to 92 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 92% of its contemporaries.