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EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V

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Cover of 'EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V'

Table of Contents

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    Book Overview
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    Chapter 1 Response Analysis of a Forced Duffing Oscillator with Fuzzy Uncertainty
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    Chapter 2 Hypervolume Maximization via Set Based Newton’s Method
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    Chapter 3 On Values of Games
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    Chapter 4 Berge-Zhukovskii Optimal Nash Equilibria
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    Chapter 5 A Generative Relation for Nash Equilibria on Symmetric Action Graph Games
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    Chapter 6 Cognition: A Tool for Reinforcing Security in Software Defined Networks
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    Chapter 7 Application of Cognitive Techniques to Network Management and Control
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    Chapter 8 Pareto Landscapes Analyses via Graph-Based Modeling for Interactive Decision-Making
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    Chapter 9 Cell Mapping Techniques for Exploratory Landscape Analysis
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    Chapter 10 Parallel Cell Mapping for Unconstrained Multi-Objective Optimization Problems
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    Chapter 11 Adaptive Multi-operator MetaHeuristics for Quadratic Assignment Problems
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    Chapter 12 A New Predictor Corrector Variant for Unconstrained Bi-objective Optimization Problems
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    Chapter 13 Application of Genetic Programming Models Incorporated in Optimization Models for Contaminated Groundwater Systems Management
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    Chapter 14 A Comparison of Fitness-Case Sampling Methods for Symbolic Regression with Genetic Programming
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    Chapter 15 Evaluating the Effects of Local Search in Genetic Programming
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    Chapter 16 Application of the MOAA for the Optimization of Wireless Sensor Networks
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    Chapter 17 A Memetic Variant of R-NSGA-II for Reference Point Problems
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    Chapter 18 A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets
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    Chapter 19 Robust Optimization with Tchebysheff Decomposition for Mars Entry Probe Design
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    Chapter 20 Optimized Fourier Approximation Models for Estimating Monthly Streamflow in the Vanderkloof Dam, South Africa
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    Chapter 21 Reservoir Inflow Forecasting Using Differential Evolution Trained Neural Networks
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    Chapter 22 Multi-objective Optimization of Methane Producing UASB Reactor Using a Combined Pareto Multi–objective Differential Evolution Algorithm (CPMDE)
Overall attention for this book and its chapters
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Title
EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V
Published by
Springer International Publishing, June 2014
DOI 10.1007/978-3-319-07494-8
ISBNs
978-3-31-907493-1, 978-3-31-907494-8
Editors

Tantar, Alexandru-Adrian, Tantar, Emilia, Sun, Jian-Qiao, Zhang, Wei, Ding, Qian, Schütze, Oliver, Emmerich, Michael, Legrand, Pierrick, Del Moral, Pierre, Coello Coello, Carlos A.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 33%
Professor 1 17%
Lecturer 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 2 33%
Environmental Science 1 17%
Engineering 1 17%
Unknown 2 33%