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Volume 17, Issue 4

Winter 2009

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ISSN 1063-6560

EISSN 1530-9304

In this Issue

Regular Paper

Special Issue: Twelve Years of EC Research in Dortmund

Editorial Introduction

Marc Schoenauer

Evolutionary Computation (2009) 17 (4): i–ii.

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Editorial Introduction to the Special Issue: Evolutionary Computing in the Collaborative Research Centre on Computational Intelligence at Technische Universität (TU) Dortmund

Hans-Paul Schwefel, Uwe Schwiegelshohn

Evolutionary Computation (2009) 17 (4): iii–iv.

View articletitled, Editorial Introduction to the Special Issue: Evolutionary Computing in the Collaborative Research Centre on Computational Intelligence at Technische Universität (TU) Dortmund

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Analysis of Diversity-Preserving Mechanisms for Global Exploration

Tobias Friedrich, Pietro S. Oliveto, Dirk Sudholt, Carsten Witt

Evolutionary Computation (2009) 17 (4): 455–476.

Abstract

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S-Metric Calculation by Considering Dominated Hypervolume as Klee's Measure Problem

Nicola Beume

Evolutionary Computation (2009) 17 (4): 477–492.

Abstract

View articletitled, S-Metric Calculation by Considering Dominated Hypervolume as Klee's Measure Problem

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Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms

H. Trautmann, T. Wagner, B. Naujoks, M. Preuss, J. Mehnen

Evolutionary Computation (2009) 17 (4): 493–509.

Abstract

View articletitled, Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms

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Hybrid Evolutionary Optimization of Two-Stage Stochastic Integer Programming Problems: An Empirical Investigation

Thomas Tometzki, Sebastian Engell

Evolutionary Computation (2009) 17 (4): 511–526.

Abstract

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On the Use of Problem-Specific Candidate Generators for the Hybrid Optimization of Multi-Objective Production Engineering Problems

K. Weinert, A. Zabel, P. Kersting, T. Michelitsch, T. Wagner

Evolutionary Computation (2009) 17 (4): 527–544.

Abstract

View articletitled, On the Use of Problem-Specific Candidate Generators for the Hybrid Optimization of Multi-Objective Production Engineering Problems

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Competitive Coevolutionary Learning of Fuzzy Systems for Job Exchange in Computational Grids

Alexander Fölling, Christian Grimme, Joachim Lepping, Alexander Papaspyrou, Uwe Schwiegelshohn

Evolutionary Computation (2009) 17 (4): 545–560.

Abstract

View articletitled, Competitive Coevolutionary Learning of Fuzzy Systems for Job Exchange in Computational Grids

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Increasing the Production Accuracy of Profile Bending with Methods of Computational Intelligence

Alessandro Selvaggio, Uwe Dirksen, A. Erman Tekkaya, Marco Schikorra, Matthias Kleiner

Evolutionary Computation (2009) 17 (4): 561–576.

Abstract

View articletitled, Increasing the Production Accuracy of Profile Bending with Methods of Computational Intelligence

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Multi-Objective Optimization with Controlled Model Assisted Evolution Strategies

Jan Braun, Johannes Krettek, Frank Hoffmann, Torsten Bertram

Evolutionary Computation (2009) 17 (4): 577–593.

Abstract

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Regular Paper

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination

Tian-Li Yu, David E. Goldberg, Kumara Sastry, Claudio F. Lima, Martin Pelikan

Evolutionary Computation (2009) 17 (4): 595–626.

Abstract

View articletitled, Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination

Special Issue: Twelve Years of EC Research in Dortmund

Editorial Introduction

Editorial Introduction to the Special Issue: Evolutionary Computing in the Collaborative Research Centre on Computational Intelligence at Technische Universität (TU) Dortmund

Analysis of Diversity-Preserving Mechanisms for Global Exploration

S-Metric Calculation by Considering Dominated Hypervolume as Klee's Measure Problem

Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms

Hybrid Evolutionary Optimization of Two-Stage Stochastic Integer Programming Problems: An Empirical Investigation

On the Use of Problem-Specific Candidate Generators for the Hybrid Optimization of Multi-Objective Production Engineering Problems

Competitive Coevolutionary Learning of Fuzzy Systems for Job Exchange in Computational Grids

Increasing the Production Accuracy of Profile Bending with Methods of Computational Intelligence

Multi-Objective Optimization with Controlled Model Assisted Evolution Strategies

Regular Paper

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination

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