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Über dieses Buch

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 computation.

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. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. 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 perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set the basis for a unified view and vocabulary where theoretical advancements may echo in different domains.

Inhaltsverzeichnis

Frontmatter

Foundations, Probability and Evolutionary Computation

Frontmatter

2013 | OriginalPaper | Buchkapitel

On the Foundations and the Applications of Evolutionary Computing

Pierre Del Moral, Alexandru-Adrian Tantar, Emilia Tantar

2013 | OriginalPaper | Buchkapitel

Incorporating Regular Vines in Estimation of Distribution Algorithms

Rogelio Salinas-Gutiérrez, Arturo Hernández-Aguirre, Enrique R. Villa-Diharce

2013 | OriginalPaper | Buchkapitel

The Gaussian Polytree EDA with Copula Functions and Mutations

Ignacio Segovia Domínguez, Arturo Hernández Aguirre, Enrique Villa Diharce

Set Oriented Numerics

Frontmatter

2013 | OriginalPaper | Buchkapitel

On Quality Indicators for Black-Box Level Set Approximation

Michael T. M. Emmerich, André H. Deutz, Johannes W. Kruisselbrink

2013 | OriginalPaper | Buchkapitel

Set Oriented Methods for the Numerical Treatment of Multiobjective Optimization Problems

Oliver Schütze, Katrin Witting, Sina Ober-Blöbaum, Michael Dellnitz

Landscape, Coevolution and Cooperation

Frontmatter

2013 | OriginalPaper | Buchkapitel

A Complex-Networks View of Hard Combinatorial Search Spaces

Marco Tomassini, Fabio Daolio

2013 | OriginalPaper | Buchkapitel

Cooperative Coevolution for Agrifood Process Modeling

Olivier Barrière, Evelyne Lutton, Pierre-Henri Wuillemin, Cédric Baudrit, Mariette Sicard, Nathalie Perrot

2013 | OriginalPaper | Buchkapitel

Hybridizing cGAs with PSO-like Mutation

E. Alba, A. Villagra

Multi-objective Optimization, Heuristic Conversion Algorithms

Frontmatter

2013 | OriginalPaper | Buchkapitel

On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms

Adriana Lara, Oliver Schütze, Carlos A. Coello Coello

2013 | OriginalPaper | Buchkapitel

On the Integration of Theoretical Single-Objective Scheduling Results for Multi-objective Problems

Christian Grimme, Markus Kemmerling, Joachim Lepping

2013 | OriginalPaper | Buchkapitel

Analysing the Robustness of Multiobjectivisation Approaches Applied to Large Scale Optimisation Problems

Carlos Segura, Eduardo Segredo, Coromoto León

2013 | OriginalPaper | Buchkapitel

A Comparative Study of Heuristic Conversion Algorithms, Genetic Programming and Return Predictability on the German Market

Esther Mohr, Günter Schmidt, Sebastian Jansen
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