Scope and aims
Metaheuristics, such as simulated annealing, evolutionary algorithms, tabu search, ant colony optimization, scatter search and iterated local search, are considered state-of-the-art methods for many problems. In recent years, however, it has become evident that the concentration on a sole metaheuristic is rather restrictive. A skilled combination of concepts from different optimization techniques can provide a more efficient behavior and a higher flexibility when dealing with real-world and large-scale problems. Hybrid Metaheuristics are such techniques for optimization that combine different metaheuristics or integrate AI/OR techniques into metaheuristics.
HM 2009 will be the sixth workshop of the series previously held in Valencia (HM 2004), Barcelona (HM 2005), Gran Canaria (HM 2006), Dortmund (HM 2007), and Malaga (HM 2008). It intends to bring researchers in metaheuristics and their applications together and provide them with a relaxed atmosphere for interaction and discussion. HM 2009 is organized as a single-track conference and a non-profit event.
- Andrea Lodi, Alma Mater Studiorum - Università di Bologna, Italy
- Vittorio Maniezzo, Alma Mater Studiorum - Università di Bologna, Campus of Cesena, Italy
The proceedings are available as volume 5818 of Springer Verlag's Lecture Notes in Computer Science.
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