Ho il piacere di girare il seguente CFP.
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9th Metaheuristics International Conference
MIC 2011
25-28 July, 2011 in Udine, Italy
More details and up-to-date information at mic2011.diegm.uniud.it
Scope of the Conference
The Metaheuristics International Conference (MIC) series was established in 1995 and this is its 9th edition. MIC is the main event focusing on the progress of the area of metaheuristics and their applications. As in previous editions, MIC 2011 will provide an opportunity to the international research community in metaheuristics to discuss recent research results, to develop new ideas and collaborations, and to meet old and make new friends in a friendly and relaxed atmosphere.
Presentations covering all aspects of metaheuristic research such as new algorithmic developments, high-impact applications, new research challenges, theoretical developments, implementation issues, and in-depth experimental studies are welcome. MIC 2011 strives for a high-quality program that will be completed by a number of invited talks, tutorials, and special sessions.
Relevant Research Areas
MIC 2011 solicits contributions dealing with any aspect of metaheuristics.
Typical, but not exclusive, topics of interest are:
- Metaheuristic techniques such as tabu search, simulated annealing, iterated local search, variable neighborhood search, memory-based optimization, dynamic local search, evolutionary algorithms, memetic algorithms, ant colony optimization, variable neighborhood search, particle swarm optimization, scatter search, path relinking, etc.
- Techniques that enhance the usability and increase the potential of metaheuristic algorithms such as reactive search mechanisms for self-tuning, offline metaheuristic algorithm configuration techniques, algorithm portfolios, parallelization of metaheuristic algorithms, etc.
- Empirical and theoretical research in metaheuristic including large-scale experimental analyses, algorithm comparisons, new experimental methodologies, engineering methodologies for stochastic local search algorithms, search space analysis, theoretical insights into properties of metaheuristic algorithms, etc.
- High-impact applications of metaheuristics in fields such as bioinformatics, electrical and mechanical engineering, telecommunications, sustainability, business, scheduling and timetabling. Particularly welcome are innovative applications of metaheuristic algorithms that have a potential of pushing research frontiers.
- Contributions on the combination of metaheuristic techniques with those from other areas, such as integer programming, constraint programming, machine learning, etc.
- Challenging applications areas such as continuos, mixed discrete-continuous, multi-objective, stochastic, or dynamic problems.
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