计算机科学理论 | 国际会议截稿信息1条

计算机科学理论

HM 2019

International Workshop on Hybrid Metaheuristics

全文截稿: 2018-07-27

开会时间: 2019-01-16

会议难度: ★★★

CCF分类: 无

会议地点: Concepción, Chile

网址：http://hm2019.ing.udec.cl/

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 Plymouth (2016), 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).
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

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