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EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII (Studies in Computational Intelligence)
by Michael Emmerich



>>>DOWNLOAD BOOK EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII (Studies in Computational Intelligence)


This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology.







EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII (Studies in Computational Intelligence) book pdf





(et al.) Pages 111-134 Preview Buy Chapter $29.95 Evidence-Based Multi-disciplinary Robust Optimization for Mars Microentry Probe Design Hou, Liqiang (et al.) Pages 135-155 Preview Buy Chapter $29.95 A Simulation-Based Algorithm for the Probabilistic Traveling Salesman Problem Li, Weiqi Pages 157-183 Preview Buy Chapter $29.95 Average Cuboid Volume as a Convergence Indicator and Selection Criterion for Multi-objective Biochemical Optimization Rosenthal, Susanne (et al.) Pages 185-210 Preview Buy Chapter $29.95 Show next xx All papers are thoroughly refereedAbout this book The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computationTable of contents (9 chapters) A Survey of Diversity Oriented Optimization: Problems, Indicators, and Algorithms Basto-Fernandes, Vitor (et al.) Pages 3-23 Preview Buy Chapter $29.95 Global Multi-objective Optimization by Means of Cell Mapping Techniques Hernndez, Carlos (et al.) Pages 25-56 Preview Buy Chapter $29.95 Percentile via Polynomial Chaos Expansion: Bridging Robust Optimization with Reliability Marchi, Mariapia (et al.) Pages 57-80 Preview Buy Chapter $29.95 Evolutionary Equilibrium Detection in Multicriteria Games Nagy, Rka (et al.) Pages 83-97 Preview Buy Chapter $29.95 A New Estimation of Distribution Algorithm for Nash Equilibria Detection Dan Mihoc, Tudor Pages 99-107 Preview Buy Chapter $29.95 Multi-objective Optimisation by Self-adaptive Evolutionary Algorithm Oliver, John MTable of contents (12 chapters) On the Foundations and the Applications of Evolutionary Computing Moral, Pierre (et al.) Pages 3-89 Preview Buy Chapter $29.95 Incorporating Regular Vines in Estimation of Distribution Algorithms Salinas-Gutirrez, Rogelio (et al.) Pages 91-121 Preview Buy Chapter $29.95 The Gaussian Polytree EDA with Copula Functions and Mutations Domnguez, Ignacio Segovia (et al.) Pages 123-153 Preview Buy Chapter $29.95 On Quality Indicators for Black-Box Level Set Approximation Emmerich, Michael TAbout this book This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problemsThe aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation The papers are well structured and consistent in style and presentationMRent the ebook Rent the ebook Rental duration: 1 or 6 month low-cost access online reader with highlighting and note-making option can be used across all devices FAQ Policy

EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background.The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectivesE this book has an impressive collection of research papers on useful and interesting transdisciplinary topicsRead this book on SpringerLink Download Preface 1 PDF (53.8 KB) Download Sample pages 2 PDF (1 MB) Download Table of contents PDF (48.4 KB)The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions

Softcover $209.00 price for USA Buy Softcover ISBN 978-3-642-44503-3 Free shipping for individuals worldwide Usually dispatched within 3 to 5 business daysThe internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape explorationIt provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the NetherlandsI can safely conclude that researchers looking to learn more in this area of research could benefit from this book(SStudies in Computational Intelligence Free Preview 2017 EVOLVE A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII Editors: Emmerich, M., Deutz, A., Schtze, O., Legrand, P., Tantar, E., Tantar, A.-A(Eds.) Comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problemsPresents selected results of the EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation meeting held in Leiden, Netherlands in July 2013Offers the latest research on probability, set-oriented numerics and evolutionary computation Ahmed, Technometrics, Vol

56 (1), February, 2014) Show all Buy this book eBook $99.00 price for Mexico (gross) Buy eBook ISBN 978-3-319-49325-1 Digitally watermarked, DRM-free Included format: EPUB, PDF ebooks can be used on all reading devices Immediate eBook download after purchase Hardcover $129.00 price for Mexico Buy Hardcover ISBN 978-3-319-49324-4 Free shipping for individuals worldwide Usually dispatched within 3 to 5 business days(Eds.) Builds a bridge between probability, statistics, set oriented Numerics and evolutionary computing Fosters a growing interest for robust and efficient methods with a sound theoretical background Unifies theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors see more benefits Buy this book eBook $159.00 price for USA (gross) Buy eBook ISBN 978-3-642-32726-1 Digitally watermarked, DRM-free Included format: PDF ebooks can be used on all reading devices Immediate eBook download after purchase Hardcover $209.00 price for USA Buy Hardcover ISBN 978-3-642-32725-4 Free shipping for individuals worldwide Usually dispatched within 3 to 5 business days(et al.) Pages 289-302 Preview Buy Chapter $29.95 On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms Lara, Adriana (et al.) Pages 305-332 Preview Buy Chapter $29.95 On the Integration of Theoretical Single-Objective Scheduling Results for Multi-objective Problems Grimme, Christian (et al.) Pages 333-363 Preview Buy Chapter $29.95 Analysing the Robustness of Multiobjectivisation Approaches Applied to Large Scale Optimisation Problems Segura, Carlos (et al.) Pages 365-391 Preview Buy Chapter $29.95 A Comparative Study of Heuristic Conversion Algorithms, Genetic Programming and Return Predictability on the German Market Mohr, Esther (et al.) Pages 393-414 Preview Buy Chapter $29.95 Show next xx . 07f867cfac


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