EVOLVE-- A bridge between probability, set oriented numerics and evolutionary computation /

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 we...

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Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Tantar, Emilia, 1981-
Published: Springer,
Publisher Address: Berlin ; New York :
Publication Dates: 2013.
Literature type: eBook
Language: English
Series: Studies in computational intelligence ; 447
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-642-32726-1
Summary: 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.
Item Description: International conference proceedings.
Carrier Form: 1 online resource.
Bibliography: Includes bibliographical references.
ISBN: 9783319011288 (electronic bk.)
3319011286 (electronic bk.)
9783642327261 (electronic bk.)
3642327265 (electronic bk.)
Index Number: QA76
CLC: TP183-532
TP301.6-532
Contents: On the Foundations and the Applications of Evolutionary Computing /
Incorporating Regular Vines in Estimation of Distribution Algorithms /
The Gaussian Polytree EDA with Copula Functions and Mutations /
On Quality Indicators for Black-Box Level Set Approximation /
Set Oriented Methods for the Numerical Treatment of Multiobjective Optimization Problems /
A Complex-Networks View of Hard Combinatorial Search Spaces /
Cooperative Coevolution for Agrifood Process Modeling /
Hybridizing cGAs with PSO-like Mutation /
On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms /
On the Integration of Theoretical Single-Objective Scheduling Results for Multi-objective Problems /
Analysing the Robustness of Multiobjectivisation Approaches Applied to Large Scale Optimisation Problems /
A Comparative Study of Heuristic Conversion Algorithms, Genetic Programming and Return Predictability on the German Market /