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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 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
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    Chapter 42 Supplier Selection Based on the PROMETHEE VI Multicriteria Method
Attention for Chapter 21: Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables
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Chapter title
Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables
Chapter number 21
Book title
Evolutionary Multi-Criterion Optimization
Published by
Springer, Berlin, Heidelberg, April 2011
DOI 10.1007/978-3-642-19893-9_21
Book ISBNs
978-3-64-219892-2, 978-3-64-219893-9
Authors

Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga, Karshenas, Hossein, Santana, Roberto, Bielza, Concha, Larrañaga, Pedro

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 5%
Brazil 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Researcher 3 15%
Professor 3 15%
Student > Master 3 15%
Lecturer 1 5%
Other 1 5%
Unknown 3 15%
Readers by discipline Count As %
Computer Science 11 55%
Mathematics 2 10%
Engineering 2 10%
Economics, Econometrics and Finance 1 5%
Unknown 4 20%