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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 Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems
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    Chapter 2 A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms
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    Chapter 3 Not All Parents Are Equal for MO-CMA-ES
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    Chapter 4 On Sequential Online Archiving of Objective Vectors
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    Chapter 5 On a Stochastic Differential Equation Approach for Multiobjective Optimization up to Pareto-Criticality
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    Chapter 6 Pareto Cone ε-Dominance: Improving Convergence and Diversity in Multiobjective Evolutionary Algorithms
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    Chapter 7 Variable Preference Modeling Using Multi-Objective Evolutionary Algorithms
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    Chapter 8 On the Computation of the Empirical Attainment Function
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    Chapter 9 Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results
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    Chapter 10 Evolutionary Multi-Criterion Optimization
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    Chapter 11 Adaptive Objective Space Partitioning Using Conflict Information for Many-Objective Optimization
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    Chapter 12 Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D
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    Chapter 13 Improved Random One-Bit Climbers with Adaptive ε-Ranking and Tabu Moves for Many-Objective Optimization
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    Chapter 14 Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes
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    Chapter 15 A Preference Based Interactive Evolutionary Algorithm for Multi-objective Optimization: PIE
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    Chapter 16 Preference Ranking Schemes in Multi-Objective Evolutionary Algorithms
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    Chapter 17 Interactive Multiobjective Mixed-Integer Optimization Using Dominance-Based Rough Set Approach
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    Chapter 18 Very Large-Scale Neighborhood Search for Solving Multiobjective Combinatorial Optimization Problems
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    Chapter 19 Bilevel Multi-objective Optimization Problem Solving Using Progressively Interactive EMO
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    Chapter 20 Multi-objective Phylogenetic Algorithm: Solving Multi-objective Decomposable Deceptive Problems
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    Chapter 21 Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables
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    Chapter 22 A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints
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    Chapter 23 A New Memory Based Variable-Length Encoding Genetic Algorithm for Multiobjective Optimization
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    Chapter 24 A Concentration-Based Artificial Immune Network for Multi-objective Optimization
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    Chapter 25 Bi-objective Portfolio Optimization Using a Customized Hybrid NSGA-II Procedure
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    Chapter 26 Aesthetic Design Using Multi-Objective Evolutionary Algorithms
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    Chapter 27 Introducing Reference Point Using g-Dominance in Optimum Design Considering Uncertainties: An Application in Structural Engineering
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    Chapter 28 Multiobjective Dynamic Optimization of Vaccination Campaigns Using Convex Quadratic Approximation Local Search
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    Chapter 29 Adaptive Technique to Solve Multi-objective Feeder Reconfiguration Problem in Real Time Context
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    Chapter 30 Variable Neighborhood Multiobjective Genetic Algorithm for the Optimization of Routes on IP Networks
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    Chapter 31 Real-Time Estimation of Optical Flow Based on Optimized Haar Wavelet Features
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    Chapter 32 Multi-objective Genetic Algorithm Evaluation in Feature Selection
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    Chapter 33 A Cultural Algorithm Applied in a Bi-Objective Uncapacitated Facility Location Problem
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    Chapter 34 A Bi-objective Iterated Local Search Heuristic with Path-Relinking for the p-Median Problem
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    Chapter 35 A Framework for Locating Logistic Facilities with Multi-Criteria Decision Analysis
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    Chapter 36 Lorenz versus Pareto Dominance in a Single Machine Scheduling Problem with Rejection
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    Chapter 37 GRACE: A Generational Randomized ACO for the Multi-objective Shortest Path Problem
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    Chapter 38 Modeling Decision-Maker Preferences through Utility Function Level Sets
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    Chapter 39 A MCDM Model for Urban Water Conservation Strategies Adapting Simos Procedure for Evaluating Alternatives Intra-criteria
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    Chapter 40 A Multicriteria Decision Model for a Combined Burn-In and Replacement Policy
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    Chapter 41 Applying a Multicriteria Decision Model So as to Analyse the Consequences of Failures Observed in RCM Methodology
  43. Altmetric Badge
    Chapter 42 Supplier Selection Based on the PROMETHEE VI Multicriteria Method
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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
1 X user
patent
1 patent
wikipedia
1 Wikipedia page

Readers on

mendeley
7 Mendeley
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Title
Evolutionary Multi-Criterion Optimization
Published by
ADS, January 2011
DOI 10.1007/978-3-642-19893-9
ISBNs
978-3-64-219892-2, 978-3-64-219893-9
Editors

Ricardo H. C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner, Salvatore Greco

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 29%
Researcher 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Computer Science 2 29%
Energy 1 14%
Engineering 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 30 September 2017.
All research outputs
#4,803,889
of 23,914,787 outputs
Outputs from ADS
#4,567
of 38,829 outputs
Outputs of similar age
#31,079
of 185,531 outputs
Outputs of similar age from ADS
#99
of 764 outputs
Altmetric has tracked 23,914,787 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 38,829 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 88% 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 185,531 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 83% of its contemporaries.
We're also able to compare this research output to 764 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.