HM 2008: Málaga, Spain

• Manuel Lozano, Carlos García-Martínez:
  An Evolutionary ILS-Perturbation Technique. 1-15
  
• Steven David Prestwich, Armagan Tarim, Roberto Rossi, Brahim Hnich:
  A Cultural Algorithm for POMDPs from Stochastic Inventory Control. 16-28
  
• Alexander Ostertag, Karl F. Doerner, Richard F. Hartl:
  A Variable Neighborhood Search Integrated in the POPMUSIC Framework for Solving Large Scale Vehicle Routing Problems. 29-42
  
• Caroline Prodhon, Christian Prins:
  A Memetic Algorithm with Population Management (MA|PM) for the Periodic Location-Routing Problem. 43-57
  
• Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera:
  Memetic Algorithm for Intense Local Search Methods Using Local Search Chains. 58-71
  
• Marco Antonio Montes de Oca, Ken Van den Enden, Thomas Stützle:
  Incremental Particle Swarm-Guided Local Search for Continuous Optimization. 72-86
  
• Susana Fernandes, Helena R. Lourenço:
  Optimised Search Heuristic Combining Valid Inequalities and Tabu Search. 87-101
  
• Zhi Yuan, Armin Fügenschuh, Henning Homfeld, Prasanna Balaprakash, Thomas Stützle, Michael Schoch:
  Iterated Greedy Algorithms for a Real-World Cyclic Train Scheduling Problem. 102-116
  
• Arnaud Liefooghe, Laetitia Jourdan, Nicolas Jozefowiez, El-Ghazali Talbi:
  On the Integration of a TSP Heuristic into an EA for the Bi-objective Ring Star Problem. 117-130
  
• Nicolas Levasseur, Patrice Boizumault, Samir Loudni:
  Boosting VNS with Neighborhood Heuristics for Solving Constraint Optimization Problems. 131-145
  
• Luca Di Gaspero, Andrea Schaerf:
  Hybrid Local Search Techniques for the Generalized Balanced Academic Curriculum Problem. 146-157
  
• Markus Leitner, Günther R. Raidl:
  Lagrangian Decomposition, Metaheuristics, and Hybrid Approaches for the Design of the Last Mile in Fiber Optic Networks. 158-174
  
• Matthias Prandtstetter, Günther R. Raidl:
  Combining Forces to Reconstruct Strip Shredded Text Documents. 175-189
  
• Jhon Edgar Amaya, Carlos Cotta, Antonio J. Fernández:
  A Memetic Algorithm for the Tool Switching Problem. 190-202