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Evolutionary Multi-Criterion Optimization

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

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Scatter Search and Path Relinking
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    Chapter 2 Ant Colony Optimization
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    Chapter 3 Constraint Programming
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    Chapter 4 Discrete Multiobjective Optimization
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    Chapter 5 Preference Models Used in Multiple Criteria Decision Making: Foundations and Assessment
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    Chapter 6 Approximating the Least Hypervolume Contributor: NP-Hard in General, But Fast in Practice
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    Chapter 7 Effects of 1-Greedy $\mathcal{S}$ -Metric-Selection on Innumerably Large Pareto Fronts
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    Chapter 8 Noisy Multiobjective Optimization on a Budget of 250 Evaluations
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    Chapter 9 On Uncertainty and Robustness in Evolutionary Optimization-Based MCDM
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    Chapter 10 Feedback-Control Operators for Evolutionary Multiobjective Optimization
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    Chapter 11 Evolutionary Multi-Criterion Optimization
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    Chapter 12 Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms
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    Chapter 13 Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
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    Chapter 14 Application of MOGA Search Strategy to SVM Training Data Selection
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    Chapter 15 On Using Populations of Sets in Multiobjective Optimization
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    Chapter 16 Recombination for Learning Strategy Parameters in the MO-CMA-ES
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    Chapter 17 Multi-Objective Optimisation Problems: A Symbolic Algorithm for Performance Measurement of Evolutionary Computing Techniques
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    Chapter 18 On the Effect of the Steady-State Selection Scheme in Multi-Objective Genetic Algorithms
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    Chapter 19 OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing
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    Chapter 20 Spread Assessment for Evolutionary Multi-Objective Optimization
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    Chapter 21 An Improved Version of Volume Dominance for Multi-Objective Optimisation
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    Chapter 22 Solving Bi-objective Many-Constraint Bin Packing Problems in Automobile Sheet Metal Forming Processes
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    Chapter 23 Robust Design of Noise Attenuation Barriers with Evolutionary Multiobjective Algorithms and the Boundary Element Method
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    Chapter 24 Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance
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    Chapter 25 Multi-criteria Curriculum-Based Course Timetabling—A Comparison of a Weighted Sum and a Reference Point Based Approach
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    Chapter 26 Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms
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    Chapter 27 Evolutionary Multiobjective Optimization for Dynamic Hospital Resource Management
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    Chapter 28 Multiobjective Decomposition of Positive Integer Matrix: Application to Radiotherapy
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    Chapter 29 Comparison of MCDM and EMO Approaches in Wastewater Treatment Plan Design
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    Chapter 30 A Trapezoidal Fuzzy Numbers-Based Approach for Aggregating Group Preferences and Ranking Decision Alternatives in MCDM
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    Chapter 31 Multicriteria Relational Clustering: The Case of Binary Outranking Matrices
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    Chapter 32 Towards the Early Diagnosis of Alzheimer’s Disease via a Multicriteria Classification Model
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    Chapter 33 Many-Objective Optimization by Space Partitioning and Adaptive ε -Ranking on MNK-Landscapes
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    Chapter 34 Online Objective Reduction to Deal with Many-Objective Problems
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    Chapter 35 Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm
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    Chapter 36 Combining Aggregation with Pareto Optimization: A Case Study in Evolutionary Molecular Design
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    Chapter 37 Many-Objective Optimization for Knapsack Problems Using Correlation-Based Weighted Sum Approach
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    Chapter 38 An Elitist GRASP Metaheuristic for the Multi-objective Quadratic Assignment Problem
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    Chapter 39 Multi-Objective Particle Swarm Optimizers: An Experimental Comparison
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    Chapter 40 Adapting to the Habitat: On the Integration of Local Search into the Predator-Prey Model
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    Chapter 41 Multiobjective Distinct Candidates Optimization (MODCO): A Cluster-Forming Differential Evolution Algorithm
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    Chapter 42 An Evolutionary Algorithm to Estimate the Nadir Point in MOLP
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    Chapter 43 Interactive Evolutionary Multiobjective Optimization Using Robust Ordinal Regression
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    Chapter 44 A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
427 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Evolutionary Multi-Criterion Optimization
Published by
ADS, April 2009
DOI 10.1007/978-3-642-01020-0
ISBNs
978-3-64-201019-4, 978-3-64-201020-0
Editors

Ehrgott, Matthias, Fonseca, Carlos M., Gandibleux, Xavier, Hao, Jin-Kao, Sevaux, Marc

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 427 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
United Kingdom 5 1%
Germany 4 <1%
Brazil 3 <1%
Netherlands 2 <1%
France 1 <1%
Malaysia 1 <1%
Portugal 1 <1%
Canada 1 <1%
Other 6 1%
Unknown 398 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 144 34%
Student > Master 78 18%
Researcher 42 10%
Student > Bachelor 23 5%
Student > Doctoral Student 21 5%
Other 59 14%
Unknown 60 14%
Readers by discipline Count As %
Engineering 128 30%
Computer Science 114 27%
Business, Management and Accounting 19 4%
Mathematics 16 4%
Environmental Science 11 3%
Other 59 14%
Unknown 80 19%
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 06 May 2013.
All research outputs
#7,304,391
of 23,039,416 outputs
Outputs from ADS
#9,064
of 37,451 outputs
Outputs of similar age
#32,180
of 93,940 outputs
Outputs of similar age from ADS
#90
of 333 outputs
Altmetric has tracked 23,039,416 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% 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 93,940 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 65% of its contemporaries.
We're also able to compare this research output to 333 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.