Volume 17, Number 1, Spring 2009

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  Thomas Jansen, Melanie Schmidt, Dirk Sudholt, Carsten Witt, Christine Zarges: Ingo Wegener. 1-2

• 
  Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt: Analyses of Simple Hybrid Algorithms for the Vertex Cover Problem. 3-19
• 
  Juana López Redondo, José-Jesús Fernández, Inmaculada García, Pilar Martínez Ortigosa: Solving the Multiple Competitive Facilities Location and Design Problem on the Plane. 21-53
• 
  Severino F. Galán, Ole J. Mengshoel: Constraint Handling Using Tournament Selection: Abductive Inference in Partly Deterministic Bayesian Networks. 55-88
• 
  Yang Zhang, Peter Rockett: A Generic Multi-dimensional Feature Extraction Method Using Multiobjective Genetic Programming. 89-115
• 
  Jonathan E. Rowe, Michael D. Vose, Alden H. Wright: Reinterpreting No Free Lunch. 117-129

• 
  Maoguo Gong, Licheng Jiao, Dongdong Yang: Corrections on the Box Plots of the Coverage Metric in "Multiobjective Immune Algorithm with Nondominated Neighbor-based Selection". 131-134

Volume 17, Number 2, Summer 2009

• 
  Marc Schoenauer: Editorial Introduction. iii

• 
  Dimo Brockhoff, Eckart Zitzler: Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications. 135-166
• 
  Marco Carpentieri: A Genetic System Based on Simulated Crossover: Stability Analysis and Relationships with Neural Nets. 167-201
• 
  Joshua L. Payne, Margaret J. Eppstein: Pair Approximations of Takeover Dynamics in Regular Population Structures. 203-229
• 
  Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim, Natalio Krasnogor: Adaptive Cellular Memetic Algorithms. 231-256
• 
  Jiawei Li, Graham Kendall: A Strategy with Novel Evolutionary Features for the Iterated Prisoner's Dilemma. 257-274

Volume 17, Number 3, Fall 2009

• 
  Salvador García, Francisco Herrera: Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy. 275-306
• 
  Jaume Bacardit, Natalio Krasnogor: Performance and Efficiency of Memetic Pittsburgh Learning Classifier Systems. 307-342
• 
  Boris Mitavskiy, Chris Cannings: Estimating the Ratios of the Stationary Distribution Values for Markov Chains Modeling Evolutionary Algorithms. 343-377
• 
  Lam Thu Bui, Hussein A. Abbass, Daryl Essam: Localization for Solving Noisy Multi-Objective Optimization Problems. 379-409
• 
  Lothar Thiele, Kaisa Miettinen, Pekka J. Korhonen, Julián Molina Luque: A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization. 411-436
• 
  Schalk Kok, Carl Sandrock: Locating and Characterizing the Stationary Points of the Extended Rosenbrock Function. 437-453

Volume 17, Number 4, Winter 2009

• 
  Marc Schoenauer: Editorial Introduction.
• 
  Hans-Paul Schwefel, Uwe Schwiegelshohn: Editorial Introduction to the Special Issue: Evolutionary Computing in the Collaborative Research Centre on Computational Intelligence at Technische Universität (TU) Dortmund.
• 
  Tobias Friedrich, Pietro Simone Oliveto, Dirk Sudholt, Carsten Witt: Analysis of Diversity-Preserving Mechanisms for Global Exploration. 455-476
• 
  Nicola Beume: S-Metric Calculation by Considering Dominated Hypervolume as Klee's Measure Problem. 477-492
• 
  Heike Trautmann, Tobias Wagner, Boris Naujoks, Mike Preuß, Jörn Mehnen: Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms. 493-509
• 
  Thomas Tometzki, Sebastian Engell: Hybrid Evolutionary Optimization of Two-Stage Stochastic Integer Programming Problems: An Empirical Investigation. 511-526
• 
  Klaus Weinert, Andreas Zabel, Petra Kersting, Thomas Michelitsch, Tobias Wagner: On the Use of Problem-Specific Candidate Generators for the Hybrid Optimization of Multi-Objective Production Engineering Problems. 527-544
• 
  Alexander Fölling, Christian Grimme, Joachim Lepping, Alexander Papaspyrou, Uwe Schwiegelshohn: Competitive Coevolutionary Learning of Fuzzy Systems for Job Exchange in Computational Grids. 545-560
• 
  Alessandro Selvaggio, Uwe Dirksen, A. Erman Tekkaya, Marco Schikorra, Matthias Kleiner: Increasing the Production Accuracy of Profile Bending with Methods of Computational Intelligence. 561-576
• 
  Jan Braun, Johannes Krettek, Frank Hoffmann, Torsten Bertram: Multi-Objective Optimization with Controlled Model Assisted Evolution Strategies. 577-593

• 
  Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan: Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. 595-626

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