Evolutionary Computation, Volume 17

Volume 17, Number 1, Spring 2009

• 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