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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 Many-Objective Visual Analytics: Rethinking the Design of Complex Engineered Systems
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    Chapter 2 Evolutionary Multiobjective Optimization and Uncertainty
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    Chapter 3 Integrating Problem Analysis and Algorithmic Development in MCDA
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    Chapter 4 Innovization : Discovery of Innovative Solution Principles Using Multi-Objective Optimization
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    Chapter 5 ‘Hang On a Minute’: Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization
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    Chapter 6 Optimization of Adaptation - A Multi-objective Approach for Optimizing Changes to Design Parameters
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    Chapter 7 Multi-objective AI Planning: Evaluating DaE YAHSP on a Tunable Benchmark
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    Chapter 8 Multi-objective Topic Modeling
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    Chapter 9 Indicator Based Search in Variable Orderings: Theory and Algorithms
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    Chapter 10 Preference Articulation by Means of the R 2 Indicator
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    Chapter 11 Do Hypervolume Regressions Hinder EMOA Performance? Surprise and Relief
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    Chapter 12 Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation
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    Chapter 13 Many-Objective Optimization Using Taxi-Cab Surface Evolutionary Algorithm
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    Chapter 14 Evolutionary Multi-Criterion Optimization
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    Chapter 15 Theory and Algorithms for Finding Knees
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    Chapter 16 Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization
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    Chapter 17 Hypervolume-Based Multi-Objective Path Relinking Algorithm
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    Chapter 18 Multiobjective Path Relinking for Biclustering: Application to Microarray Data
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    Chapter 19 Selection Operators Based on Maximin Fitness Function for Multi-Objective Evolutionary Algorithms
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    Chapter 20 Difficulty in Evolutionary Multiobjective Optimization of Discrete Objective Functions with Different Granularities
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    Chapter 21 Solution of Multi-objective Min-Max and Max-Min Games by Evolution
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    Chapter 22 Evolutionary Multi-Criterion Optimization
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    Chapter 23 Effect of Dominance Balance in Many-Objective Optimization
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    Chapter 24 An Alternative Preference Relation to Deal with Many-Objective Optimization Problems
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    Chapter 25 An Improved Adaptive Approach for Elitist Nondominated Sorting Genetic Algorithm for Many-Objective Optimization
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    Chapter 26 Adaptive ε -Sampling and ε -Hood for Evolutionary Many-Objective Optimization
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    Chapter 27 ‘‘Whatever Works Best for You’’- A New Method for a Priori and Progressive Multi-objective Optimisation
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    Chapter 28 Hypervolume-Based Multi-Objective Reinforcement Learning
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    Chapter 29 A Theoretical Analysis of Curvature Based Preference Models
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    Chapter 30 Force-Based Cooperative Search Directions in Evolutionary Multi-objective Optimization
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    Chapter 31 Approximation Model Guided Selection for Evolutionary Multiobjective Optimization
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    Chapter 32 Evolutionary Multi-Criterion Optimization
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    Chapter 33 Generalized Decomposition
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    Chapter 34 Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation
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    Chapter 35 Relation between Neighborhood Size and MOEA/D Performance on Many-Objective Problems
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    Chapter 36 Multiple Criteria Hierarchy Process for the Choquet Integral
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    Chapter 37 Selection of Inspection Intervals Based on Multi-attribute Utility Theory
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    Chapter 38 Minimizing the Compensatory Effect of MCDM Group Decision Additive Aggregation Using the Veto Concept
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    Chapter 39 A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization
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    Chapter 40 A New Multiobjective Genetic Programming for Extraction of Design Information from Non-dominated Solutions
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    Chapter 41 Evolutionary Multi-Criterion Optimization
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    Chapter 42 Visualising High-Dimensional Pareto Relationships in Two-Dimensional Scatterplots
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    Chapter 43 Evolutionary Multi-Criterion Optimization
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    Chapter 44 Performance of Specific vs. Generic Feature Sets in Polyphonic Music Instrument Recognition
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    Chapter 45 Multi-objectivization of the Tool Selection Problem on a Budget of Evaluations
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    Chapter 46 Evolutionary Multi-Criterion Optimization
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    Chapter 47 Multi-criteria Optimization for Parameter Estimation of Physical Models in Combustion Engine Calibration
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    Chapter 48 Evolutionary Multi-Criterion Optimization
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    Chapter 49 Knowledge Extraction for Structural Design of Regional Jet Horizontal Tail Using Multi-Objective Design Exploration (MODE)
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    Chapter 50 Application of the MOAA to Satellite Constellation Refueling Optimization
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    Chapter 51 Parametric Design Optimisation for Planetary Landing Systems
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    Chapter 52 Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators
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    Chapter 53 An Application of a Multicriteria Approach to Compare Economic Sectors: The Case of Sinaloa, Mexico
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    Chapter 54 Multi-objective Optimisation for Social Cost Benefit Analysis: An Allegory
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    Chapter 55 Evolutionary Multi-Criterion Optimization
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    Chapter 56 A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets
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    Chapter 57 Multi-Objective Evolutionary Algorithm with Node-Depth Encoding and Strength Pareto for Service Restoration in Large-Scale Distribution Systems
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    Chapter 58 A DSS Based on Multiple Criteria Decision Making for Maintenance Planning in an Electrical Power Distributor
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    Chapter 59 Multi-objective Optimization under Uncertain Objectives: Application to Engineering Design Problem
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    Chapter 60 Decision-Maker Preference Modeling in Interactive Multiobjective Optimization
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    Chapter 61 Automatically Improving the Anytime Behaviour of Multiobjective Evolutionary Algorithms
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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
2 X users
patent
3 patents

Citations

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16 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Evolutionary Multi-Criterion Optimization
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-37140-0
ISBNs
978-3-64-237139-4, 978-3-64-237140-0
Authors

Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco, Jane Shaw

Editors

Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco, Jane Shaw

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 9%
Student > Master 2 9%
Professor > Associate Professor 1 5%
Professor 1 5%
Unknown 16 73%
Readers by discipline Count As %
Computer Science 3 14%
Engineering 2 9%
Chemical Engineering 1 5%
Unknown 16 73%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 May 2016.
All research outputs
#4,030,718
of 22,858,915 outputs
Outputs from Lecture notes in computer science
#948
of 8,127 outputs
Outputs of similar age
#42,888
of 281,232 outputs
Outputs of similar age from Lecture notes in computer science
#40
of 314 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. 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 281,232 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 84% of its contemporaries.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.