HM 2016 - 10th International Workshop on Hybrid Metaheuristics

The HM Workshops are intended to be an international forum for researchers in the area of design, analysis, and experimental evaluation of metaheuristics. 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. The preceding Workshops were held in Hamburg (2014), Ischia Island (HM 2013), Vienna (HM 2010), Udine (HM 2009), Malaga (HM 2008), Dortmund (HM 2007), Gran Canaria (HM 2006), Barcelona (HM 2005), and Valencia (HM 2004).
HM 2016 is organized as a single-track conference and a non-profit event.
Topics of Interest
Contributions solicited cover a variety of topics including but not limited to:
Novel combinations of components from different metaheuristics
Hybridization of metaheuristics and AI/OR techniques
Low-level hybridization
High-level hybridization, portfolio techniques, expert systems
Cooperative search
Automated parameter tuning
Empirical and statistical comparison
Theoretical aspects of hybridization
Parallelization
Software libraries