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Evolutionary Multi-Criterion Optimization

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Cover of 'Evolutionary Multi-Criterion Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 On Bi-objective Convex-Quadratic Problems
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    Chapter 2 An Empirical Investigation of the Optimality and Monotonicity Properties of Multiobjective Archiving Methods
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    Chapter 3 Evolutionary Multi-objective Optimization Using Benson’s Karush-Kuhn-Tucker Proximity Measure
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    Chapter 4 On the Convergence of Decomposition Algorithms in Many-Objective Problems
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    Chapter 5 A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems
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    Chapter 6 Make Evolutionary Multiobjective Algorithms Scale Better with Advanced Data Structures: Van Emde Boas Tree for Non-dominated Sorting
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    Chapter 7 Toward a New Family of Hybrid Evolutionary Algorithms
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    Chapter 8 Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D
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    Chapter 9 GDE4: The Generalized Differential Evolution with Ordered Mutation
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    Chapter 10 Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem
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    Chapter 11 Multimodality in Multi-objective Optimization – More Boon than Bane?
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    Chapter 12 Solving Nonlinear Equation Systems Using Multiobjective Differential Evolution
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    Chapter 13 Process-Monitoring-for-Quality—A Model Selection Criterion for Genetic Programming
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    Chapter 14 Evolutionary Many-Constraint Optimization: An Exploratory Analysis
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    Chapter 15 Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization
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    Chapter 16 On Timing the Nadir-Point Estimation and/or Termination of Reference-Based Multi- and Many-objective Evolutionary Algorithms
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    Chapter 17 Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms
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    Chapter 18 Indicator-Based Weight Adaptation for Solving Many-Objective Optimization Problems
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    Chapter 19 Investigating the Normalization Procedure of NSGA-III
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    Chapter 20 MAC: Many-objective Automatic Algorithm Configuration
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    Chapter 21 A Parallel Tabu Search Heuristic to Approximate Uniform Designs for Reference Set Based MOEAs
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    Chapter 22 Comparison of Reference- and Hypervolume-Based MOEA on Solving Many-Objective Optimization Problems
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    Chapter 23 Diversity over Dominance Approach for Many-Objective Optimization on Reference-Points-Based Framework
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    Chapter 24 A Two-Stage Evolutionary Algorithm for Many-Objective Optimization
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    Chapter 25 CRI-EMOA: A Pareto-Front Shape Invariant Evolutionary Multi-objective Algorithm
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    Chapter 26 The Hypervolume Indicator as a Performance Measure in Dynamic Optimization
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    Chapter 27 Comparison of Hypervolume, IGD and IGD + from the Viewpoint of Optimal Distributions of Solutions
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    Chapter 28 Diversity-Indicator Based Multi-Objective Evolutionary Algorithm: DI-MOEA
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    Chapter 29 The Expected R2-Indicator Improvement for Multi-objective Bayesian Optimization
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    Chapter 30 Trust-Region Based Multi-objective Optimization for Low Budget Scenarios
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    Chapter 31 Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems
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    Chapter 32 Linear Search Mechanism for Multi- and Many-Objective Optimisation
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    Chapter 33 Estimating Relevance of Variables for Effective Recombination
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    Chapter 34 sParEGO – A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems
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    Chapter 35 Knowledge Discovery in Scheduling Systems Using Evolutionary Bilevel Optimization and Visual Analytics
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    Chapter 36 Pareto Optimal Set Approximation by Models: A Linear Case
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    Chapter 37 On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization
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    Chapter 38 Convergence Acceleration for Multiobjective Sparse Reconstruction via Knowledge Transfer
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    Chapter 39 Evolving Generalized Solutions for Robust Multi-objective Optimization: Transportation Analysis in Disaster
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    Chapter 40 Runtime Analysis of Evolutionary Multi-objective Algorithms Optimising the Degree and Diameter of Spanning Trees
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    Chapter 41 Bi-objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm
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    Chapter 42 A Formal Model for Multi-objective Optimisation of Network Function Virtualisation Placement
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    Chapter 43 NSGA-II for Solving Multiobjective Integer Minimum Cost Flow Problem with Probabilistic Tree-Based Representation
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    Chapter 44 Opposition-Based Multi-objective Binary Differential Evolution for Multi-label Feature Selection
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    Chapter 45 Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling
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    Chapter 46 Reliable Biobjective Solution of Stochastic Problems Using Metamodels
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    Chapter 47 Mutual Rationalizability in Vector-Payoff Games
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    Chapter 48 Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space
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    Chapter 49 IRA-EMO: Interactive Method Using Reservation and Aspiration Levels for Evolutionary Multiobjective Optimization
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    Chapter 50 Progressive Preference Learning: Proof-of-Principle Results in MOEA/D
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    Chapter 51 A Dichotomous Approach to Reduce Rank Reversal Occurrences in PROMETHEE II Rankings
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    Chapter 52 A Viability Study of Renewables and Energy Storage Systems Using Multicriteria Decision Making and an Evolutionary Approach
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    Chapter 53 Analysing Optimisation Data for Multicriteria Building Spatial Design
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    Chapter 54 Constrained Multi-objective Optimization Method for Practical Scientific Workflow Resource Selection
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    Chapter 55 Simulation Optimization of Water Usage and Crop Yield Using Precision Irrigation
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    Chapter 56 Optimum Wind Farm Layouts: A Many-Objective Perspective and Case Study
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    Chapter 57 Comparison of Multi-objective Optimization Methods Applied to Electrical Machine Design
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    Chapter 58 Designing Solar Chimney Power Plant Using Meta-modeling, Multi-objective Optimization, and Innovization
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    Chapter 59 Neuroevolutionary Multiobjective Methodology for the Optimization of the Injection Blow Molding Process
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Title
Evolutionary Multi-Criterion Optimization
Published by
Springer International Publishing, March 2019
DOI 10.1007/978-3-030-12598-1
ISBNs
978-3-03-012597-4, 978-3-03-012598-1
Editors

Deb, Kalyanmoy, Goodman, Erik, Coello Coello, Carlos A., Klamroth, Kathrin, Miettinen, Kaisa, Mostaghim, Sanaz, Reed, Patrick

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

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 29%
Researcher 3 11%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 9 32%
Readers by discipline Count As %
Computer Science 6 21%
Engineering 6 21%
Environmental Science 3 11%
Mathematics 2 7%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 9 32%